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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. 22881
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    INDEX
    Explanations

    urges or encouragements directed towards taking specific actions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of urges or strong desires

    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
    estern
    -0.80
    mbuds
    -0.74
    mberg
    -0.71
    namese
    -0.71
    lations
    -0.70
     Surv
    -0.70
    nam
    -0.69
     Seym
    -0.69
    ding
    -0.67
     Half
    -0.66
    POSITIVE LOGITS
     urge
    1.17
     urges
    0.92
    ingly
    0.92
     compel
    0.81
     incent
    0.79
     compulsion
    0.76
     compelled
    0.75
     temptation
    0.73
     irresist
    0.72
     throb
    0.71
    Activations Density 0.020%

    No Known Activations