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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. 4334
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    Explanations

    sentences expressing disappointment or disapproval

    oai_token-act-pair · gpt-3.5-turbo

    expressions of shame and related emotional responses

    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
    efficients
    -0.73
    ancial
    -0.71
    arbon
    -0.70
    urgy
    -0.70
    irements
    -0.70
    thus
    -0.69
    opez
    -0.65
    tein
    -0.65
    ullivan
    -0.64
    weeney
    -0.63
    POSITIVE LOGITS
     shame
    1.15
    fully
    1.14
     Shame
    1.08
    faced
    1.04
    imaru
    0.91
    ously
    0.88
     ashamed
    0.85
    uously
    0.78
     shaming
    0.78
    face
    0.77
    Activations Density 0.008%

    No Known Activations