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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. 6-RES-JB
    11. 14851
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    Explanations

    references to a person's name

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Kerley" or variations thereof

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãģį
    -0.82
    UME
    -0.80
    BOOK
    -0.74
    naires
    -0.71
    terday
    -0.70
    ¬¼
    -0.69
    xual
    -0.68
    ãģ®éŃĶ
    -0.67
    EMENT
    -0.67
    IBLE
    -0.66
    POSITIVE LOGITS
    rigan
    1.14
    mit
    1.10
    sten
    1.06
    der
    1.06
    ston
    0.99
    lein
    0.97
    lins
    0.96
    seys
    0.94
    bal
    0.92
    ber
    0.92
    Activations Density 0.018%

    No Known Activations