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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. 20025
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    Explanations

    names related to various individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of people and places

    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
    orative
    -0.84
    acular
    -0.82
    ications
    -0.79
    clerosis
    -0.73
    aution
    -0.72
    adian
    -0.71
    struction
    -0.71
    notations
    -0.71
    afort
    -0.69
    uality
    -0.69
    POSITIVE LOGITS
    mong
    0.87
    IGH
    0.82
    IGHTS
    0.77
    irsch
    0.76
    masters
    0.74
    ISTORY
    0.74
    metry
    0.70
    arrison
    0.69
    ttle
    0.69
    ospital
    0.68
    Activations Density 0.070%

    No Known Activations