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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. 0-RES-JB
    11. 4859
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    Explanations

    phrases related to collecting items or information for various purposes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the act of gathering or accumulating

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     externalToEVAOnly
    -0.72
    quickShipAvailable
    -0.72
    ital
    -0.68
     Shanahan
    -0.67
     Downing
    -0.66
    phasis
    -0.66
    uberty
    -0.66
    enance
    -0.64
     softened
    -0.63
     Sinai
    -0.63
    POSITIVE LOGITS
     collect
    3.71
     Collect
    2.41
     collecting
    2.38
    collect
    2.35
    Collect
    2.29
     collects
    2.14
     collected
    1.83
     collectors
    1.74
     collector
    1.66
     gather
    1.61
    Activations Density 0.022%

    No Known Activations