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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. 6828
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    INDEX
    Explanations

    Specific mentions of being chosen or selected

    oai_token-act-pair · gpt-3.5-turbo

    words related to selection or choices made in a competitive context

    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
    eva
    -0.69
    quin
    -0.67
    parent
    -0.67
    payer
    -0.66
    isd
    -0.64
    compl
    -0.64
    iscal
    -0.63
    HER
    -0.61
    ifa
    -0.61
    uble
    -0.61
    POSITIVE LOGITS
     doors
    0.80
    earchers
    0.79
    pload
    0.77
    âĸ¬
    0.76
    chwitz
    0.71
    comings
    0.66
    ãĤ¦ãĤ¹
    0.65
     nep
    0.65
    Reloaded
    0.65
     aliases
    0.64
    Activations Density 0.000%

    No Known Activations