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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. 22064
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    Explanations

    people's names or places mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names associated with notable individuals or locations

    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
    ĨĴ
    -0.76
    ellar
    -0.70
     Doe
    -0.69
    ells
    -0.69
    hill
    -0.68
     Jav
    -0.67
    %]
    -0.67
    ysis
    -0.66
    awei
    -0.66
    enth
    -0.66
    POSITIVE LOGITS
     Fas
    1.36
    cens
    0.84
    hers
    0.77
    killed
    0.76
    nexus
    0.75
    quin
    0.75
    heed
    0.73
     Hurricanes
    0.72
    ttes
    0.70
    inav
    0.70
    Activations Density 0.014%

    No Known Activations