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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. 9-RES-JB
    11. 17561
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    Explanations

    phrases related to emotions

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and transitions in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    robe
    -0.67
    minster
    -0.59
    rons
    -0.56
    eering
    -0.55
     Falk
    -0.55
    isbury
    -0.54
     Victims
    -0.54
    ments
    -0.54
    entials
    -0.53
     seizure
    -0.52
    POSITIVE LOGITS
    but
    1.06
     but
    1.04
     except
    1.01
    BUT
    0.97
     haha
    0.97
     albeit
    0.92
     unless
    0.91
     yeah
    0.90
     namely
    0.89
    unless
    0.87
    Activations Density 0.496%

    No Known Activations