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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. 1529
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    Explanations

    phrases related to causality or reasons behind events

    oai_token-act-pair · gpt-3.5-turbo

    explanations that justify or provide reasons in a statement

    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
    foundland
    -0.69
    emo
    -0.62
    Gas
    -0.61
    pmwiki
    -0.61
    alin
    -0.60
    aiden
    -0.60
    aug
    -0.60
    oidal
    -0.59
     exting
    -0.59
    robe
    -0.59
    POSITIVE LOGITS
     they
    0.94
     of
    0.93
     there
    0.83
     it
    0.80
     unlike
    0.76
     thereof
    0.74
    of
    0.72
     otherwise
    0.70
     THEY
    0.69
     nobody
    0.68
    Activations Density 0.088%

    No Known Activations