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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. 3-RES-JB
    11. 7092
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    Explanations

    references to legal cases or court proceedings with specific mentions of organizations or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to the National Labor Relations Board (NLRB) and related labor issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    flies
    -0.90
    tons
    -0.84
    icles
    -0.80
    shake
    -0.80
    fully
    -0.80
    ku
    -0.77
    fulness
    -0.76
    ful
    -0.75
    ista
    -0.75
    idate
    -0.74
    POSITIVE LOGITS
    NL
    0.94
    ibrary
    0.77
    RB
    0.76
    TP
    0.76
    STAR
    0.76
    PH
    0.75
    NK
    0.75
    UTH
    0.75
    ODE
    0.75
    ounge
    0.74
    Activations Density 0.008%

    No Known Activations