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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. 10-RES-JB
    11. 4681
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    Explanations

    phrases expressing beliefs or opinions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express belief or assumptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pione
    -0.81
    iciary
    -0.81
    ensed
    -0.77
    WER
    -0.76
    backer
    -0.76
    abre
    -0.74
    yna
    -0.73
    ă
    -0.73
    jri
    -0.73
    ü
    -0.72
    POSITIVE LOGITS
     someday
    0.93
     there
    0.86
     somehow
    0.85
     everyone
    0.83
     humans
    0.83
     everything
    0.82
     '[
    0.80
     unless
    0.79
     "[
    0.78
     blacks
    0.78
    Activations Density 0.190%

    No Known Activations