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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    expressions related to negative moral judgment

    oai_token-act-pair · gpt-3.5-turbo

    expressions of shame

    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
    ancial
    -0.78
    ullivan
    -0.76
    thus
    -0.74
    arbon
    -0.70
    女
    -0.69
     contiguous
    -0.69
    ITNESS
    -0.68
    weeney
    -0.68
    urgy
    -0.68
    efficients
    -0.67
    POSITIVE LOGITS
    fully
    1.26
    faced
    1.19
     Shame
    1.09
     shame
    1.08
    ously
    0.99
    imaru
    0.87
     ashamed
    0.85
    face
    0.82
    fulness
    0.80
     shaming
    0.79
    Activations Density 0.008%

    No Known Activations