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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. 18609
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    Explanations

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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
    Not in Any Lists

    No Comments

    Negative Logits
    Reloaded
    -0.69
     Trance
    -0.63
     Artemis
    -0.63
     Phar
    -0.62
    fork
    -0.61
     strat
    -0.61
     Engineers
    -0.60
     whiff
    -0.59
     Noir
    -0.59
     Moss
    -0.58
    POSITIVE LOGITS
    ufact
    1.20
    ances
    0.94
    vernment
    0.91
    urate
    0.86
    eport
    0.85
    owship
    0.85
    urable
    0.83
    itions
    0.80
    asures
    0.78
    bered
    0.78
    Activations Density 0.080%

    No Known Activations