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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. 9-RES-JB
    11. 16699
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    Explanations

    adjectives or phrases related to negative consequences

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to economic or financial failure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     respectively
    -0.63
     mysteries
    -0.63
     Erica
    -0.60
    packages
    -0.58
    anon
    -0.58
     Ethnic
    -0.58
    FTWARE
    -0.58
    ummies
    -0.57
    /,
    -0.57
     Frie
    -0.56
    POSITIVE LOGITS
     would
    0.86
     implies
    0.83
    ealous
    0.82
     could
    0.81
    would
    0.79
     shouldn
    0.78
     cannot
    0.77
     wouldn
    0.76
     entails
    0.75
     undermines
    0.75
    Activations Density 0.631%

    No Known Activations