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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. 4-RES-JB
    11. 4157
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    INDEX
    Explanations

    phrases indicating causation or attribution

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating causation or reasons

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

    No Comments

    Negative Logits
    =-=-=-=-=-=-=-=-
    -0.82
    anon
    -0.75
     Maple
    -0.71
    asp
    -0.69
     Islanders
    -0.67
    arre
    -0.67
    arro
    -0.66
     CFL
    -0.63
    orld
    -0.62
     Carbuncle
    -0.62
    POSITIVE LOGITS
    giving
    0.81
    */(
    0.80
     diligence
    0.79
    ration
    0.76
    gers
    0.74
     cancell
    0.74
    lling
    0.73
     attribution
    0.71
     releg
    0.68
     dilig
    0.65
    Activations Density 0.019%

    No Known Activations