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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. 11-RES-JB
    11. 21810
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    Explanations

    phrases related to legal and political topics

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and transitions, particularly 'and' and 'but'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    luster
    -0.76
    onica
    -0.72
    atten
    -0.65
    escription
    -0.63
     Quote
    -0.58
    enza
    -0.57
    zip
    -0.53
    BF
    -0.53
    article
    -0.52
    dx
    -0.52
    POSITIVE LOGITS
     whose
    1.95
     whom
    1.86
    whose
    1.72
     who
    1.69
    who
    1.54
     which
    1.30
     whence
    1.18
     Who
    1.10
    Who
    1.07
    which
    1.04
    Activations Density 0.274%

    No Known Activations