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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. 3-RES-JB
    11. 1934
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ccording
    -0.71
    icho
    -0.71
    ADRA
    -0.67
    retty
    -0.66
    BALL
    -0.65
     allowances
    -0.65
    hillary
    -0.64
    Rush
    -0.64
    EStreamFrame
    -0.64
    VW
    -0.63
    POSITIVE LOGITS
    theless
    1.01
    phrine
    0.84
    opian
    0.81
    termin
    0.70
    oton
    0.67
    opol
    0.67
    achus
    0.65
    vre
    0.63
    phant
    0.62
    eker
    0.62
    Activations Density 0.084%

    No Known Activations