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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. 12392
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    INDEX
    Explanations

    mentions of panels or groups of people deliberating on various topics

    oai_token-act-pair · gpt-3.5-turbo

    references to panels or groups of experts

    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
    ENSE
    -0.72
    yll
    -0.72
     fundament
    -0.71
    chie
    -0.71
    DIT
    -0.70
     dx
    -0.70
    vant
    -0.67
    yles
    -0.67
    velt
    -0.65
    ERE
    -0.63
    POSITIVE LOGITS
     panels
    1.05
     panel
    1.04
    ists
    0.94
    panel
    0.86
    chairs
    0.86
    Panel
    0.85
    igans
    0.81
     Panel
    0.79
     chairs
    0.77
     judges
    0.75
    Activations Density 0.011%

    No Known Activations