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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. 7-RES-JB
    11. 1855
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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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    aved
    -0.76
    taboola
    -0.76
    rimp
    -0.74
    wcs
    -0.74
    otta
    -0.66
     Riley
    -0.62
    ci
    -0.61
    pless
    -0.61
    amy
    -0.61
    etta
    -0.60
    POSITIVE LOGITS
    egal
    0.77
    DERR
    0.76
    INESS
    0.75
    OPA
    0.75
    ATES
    0.75
    ERAL
    0.74
    èĢħ
    0.71
     inhibitors
    0.70
    s
    0.69
    ETH
    0.69
    Activations Density 0.123%

    No Known Activations