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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. 1739
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    Explanations

    phrases related to crime, law enforcement, and legal procedures

    oai_token-act-pair · gpt-3.5-turbo

    names or terms related to individuals involved in a specific event or context

    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
    erest
    -0.81
    ccording
    -0.79
    ership
    -0.75
    ers
    -0.72
    orses
    -0.69
    orable
    -0.65
    olulu
    -0.63
    est
    -0.62
    edit
    -0.60
     challeng
    -0.60
    POSITIVE LOGITS
    bilt
    1.09
    jee
    1.01
    idge
    1.01
    geist
    1.00
    lein
    0.99
    iffe
    0.92
    clips
    0.91
    getic
    0.89
    baum
    0.88
    wald
    0.86
    Activations Density 0.155%

    No Known Activations