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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. 15414
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    Explanations

    phrases related to negative impacts or consequences

    oai_token-act-pair · gpt-3.5-turbo

    references to significant impacts or consequences, often framed as "blows."

    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
    afort
    -0.71
    occ
    -0.69
    ordan
    -0.68
    cius
    -0.67
    iosity
    -0.64
    responsible
    -0.63
    rian
    -0.62
    omal
    -0.62
    Definition
    -0.61
    olerance
    -0.61
    POSITIVE LOGITS
    blow
    0.92
     blow
    0.91
    bang
    0.88
     retard
    0.86
     blows
    0.83
     Blow
    0.82
    outs
    0.80
    blown
    0.79
    pipe
    0.78
     blew
    0.76
    Activations Density 0.008%

    No Known Activations