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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. 8-RES-JB
    11. 3937
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    Explanations

    specific years

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "when"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agin
    -0.66
    Translation
    -0.66
    unch
    -0.63
    1007
    -0.62
    urden
    -0.62
    TE
    -0.61
    wn
    -0.61
    ac
    -0.61
    fo
    -0.60
    ply
    -0.60
    POSITIVE LOGITS
    soever
    0.94
    upon
    0.86
     they
    0.74
     temperatures
    0.73
     crowds
    0.71
     mobs
    0.68
    irlf
    0.66
    abouts
    0.65
     newspapers
    0.65
     tensions
    0.64
    Activations Density 0.070%

    No Known Activations