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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. 3483
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    Explanations

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

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    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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    No Comments

    Negative Logits
    able
    -0.52
     figur
    -0.51
     vanity
    -0.47
     ðŁĻĤ
    -0.46
     behaving
    -0.46
     token
    -0.45
     darling
    -0.45
     decomp
    -0.45
     Tob
    -0.44
     ESP
    -0.44
    POSITIVE LOGITS
    ¬
    1.24
    Ļ
    1.08
    ª
    1.08
    £
    1.07
    ¹
    1.06
    ¥
    1.06
    Ĺ
    1.06
    ķ
    1.05
    µ
    1.03
    Ń
    1.02
    Activations Density 0.480%

    No Known Activations