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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. 6-RES-JB
    11. 17489
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to the news network CNN

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    phant
    -0.74
    hot
    -0.72
    mits
    -0.69
    ocene
    -0.68
    vals
    -0.66
    hend
    -0.66
    pell
    -0.65
     tyr
    -0.65
    hem
    -0.64
    dash
    -0.64
    POSITIVE LOGITS
    Money
    1.15
     affiliate
    0.93
    NOW
    0.92
    ileaks
    0.88
    ILLE
    0.88
    IB
    0.82
    ienne
    0.80
    iar
    0.79
    ial
    0.79
    NEWS
    0.79
    Activations Density 0.016%

    No Known Activations