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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. 11-RES-JB
    11. 12489
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    Explanations

    terms related to negative impacts or problems

    oai_token-act-pair · gpt-3.5-turbo

    words related to negative conditions or situations that cause distress or harm

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pmwiki
    -0.76
    arez
    -0.75
    kas
    -0.73
    psons
    -0.70
    URA
    -0.69
    dropping
    -0.68
     sidx
    -0.67
    chlor
    -0.66
    uties
    -0.66
    assium
    -0.66
    POSITIVE LOGITS
     generations
    0.90
     humankind
    0.86
     everything
    0.84
     Europe
    0.82
     our
    0.82
     much
    0.81
     mankind
    0.80
     contemporary
    0.80
     perceptions
    0.78
     modern
    0.78
    Activations Density 0.264%

    No Known Activations