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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. 3-RES-JB
    11. 4150
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    INDEX
    Explanations

    names of a specific person, "Aki"

    oai_token-act-pair · gpt-3.5-turbo

    repeated instances of a specific name or term

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    child
    -0.87
    actionDate
    -0.72
    neys
    -0.68
     Cosponsors
    -0.67
    advertisement
    -0.66
     unfocusedRange
    -0.66
    craft
    -0.65
    egg
    -0.65
    APH
    -0.63
    liness
    -0.63
    POSITIVE LOGITS
    aki
    1.03
    wi
    0.98
    uchi
    0.93
    ña
    0.91
    ota
    0.88
    ya
    0.85
    veyard
    0.84
    atsu
    0.83
    unta
    0.83
    adan
    0.82
    Activations Density 0.014%

    No Known Activations