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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. 2281
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    sentences that mention the letter "A" or the word "a"

    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
     gigs
    -0.77
    kids
    -0.71
     creeps
    -0.71
     dudes
    -0.70
     emails
    -0.70
    killers
    -0.69
    things
    -0.69
     Emails
    -0.69
     Armageddon
    -0.69
     Oscar
    -0.68
    POSITIVE LOGITS
    versive
    1.02
     subset
    1.00
     qualitative
    0.99
     comprehensive
    0.96
     variety
    0.94
     substantial
    0.92
     systematic
    0.92
     continuum
    0.92
     causal
    0.91
     quantitative
    0.90
    Activations Density 0.268%

    No Known Activations