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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. 20089
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    Explanations

    actions related to crime and violence

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and specific grammatical structures in a narrative context

    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
    obyl
    -0.70
    oliberal
    -0.69
    soDeliveryDate
    -0.66
    ocl
    -0.66
    leground
    -0.66
     utopian
    -0.65
    prises
    -0.63
    ħĭ
    -0.63
    NetMessage
    -0.63
    omics
    -0.62
    POSITIVE LOGITS
     according
    1.30
    according
    1.05
     TMZ
    0.99
     authorities
    0.95
     prosecutors
    0.94
     prompting
    0.89
     injuring
    0.86
    reports
    0.85
     investigators
    0.85
     police
    0.80
    Activations Density 0.303%

    No Known Activations