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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. 1-RES-JB
    11. 18639
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    Explanations

    specific mentions of websites or URLs

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the presence of significant conditions or contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     comprom
    -0.67
    arthed
    -0.66
    lass
    -0.66
     coron
    -0.63
     Marketable
    -0.62
    lihood
    -0.61
     sar
    -0.61
     fitted
    -0.60
     specialists
    -0.60
    alyst
    -0.59
    POSITIVE LOGITS
     unfocusedRange
    0.84
    MpServer
    0.72
    oji
    0.71
    ONT
    0.68
    nyder
    0.67
    json
    0.66
    umbs
    0.66
    elsius
    0.64
    ername
    0.64
     COMPLE
    0.64
    Activations Density 0.000%

    No Known Activations