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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. 2-RES-JB
    11. 22453
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    Explanations

    words related to debate moderators, event outcomes, and crisis situations

    oai_token-act-pair · gpt-3.5-turbo

    words related to moderators and various forms of crises or remediation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    son
    -0.95
    ster
    -0.94
    arde
    -0.88
    ried
    -0.87
    ocity
    -0.86
    obe
    -0.85
    tips
    -0.84
    sin
    -0.82
    sten
    -0.82
    ued
    -0.81
    POSITIVE LOGITS
    ertodd
    0.81
     meltdown
    0.80
     AMA
    0.77
     moderators
    0.77
     moderator
    0.73
     Bride
    0.72
     Cascade
    0.71
     detector
    0.71
    ETHOD
    0.69
    xual
    0.68
    Activations Density 0.034%

    No Known Activations