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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 12-RES-JB
    11. 2880
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    Explanations

    phrases related to emotions and actions in a narrative or storytelling context

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    phrases indicating emotional responses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     teasp
    -0.74
     pione
    -0.65
    ÷
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     RandomRedditor
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    ă
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    ü
    -0.63
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    Ĝ
    -0.63
    ā
    -0.63
    ý
    -0.63
    POSITIVE LOGITS
     whoever
    0.58
     anybody
    0.57
     everybody
    0.56
     Blank
    0.53
     him
    0.53
     Hue
    0.52
     somebody
    0.51
     Kid
    0.51
     Clever
    0.51
     everyone
    0.51
    Activations Density 0.940%

    No Known Activations