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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. 7-RES-JB
    11. 18107
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    Explanations

    names

    oai_token-act-pair · gpt-3.5-turbo

    elements of structured or formatted lists, particularly those with people or titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olves
    -0.83
    adh
    -0.73
    ole
    -0.68
    ERROR
    -0.63
     outputs
    -0.63
    feed
    -0.60
    versive
    -0.59
    appropriate
    -0.59
    FIX
    -0.58
    ox
    -0.58
    POSITIVE LOGITS
     meanwhile
    1.00
     flanked
    0.97
     however
    0.93
    enegger
    0.88
     pictured
    0.88
     citing
    0.82
     Sr
    0.82
    pictured
    0.81
     whose
    0.79
     who
    0.77
    Activations Density 0.161%

    No Known Activations