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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. 16606
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    Explanations

    names of individuals or places

    oai_token-act-pair · gpt-3.5-turbo

    names associated with piracy and notable individuals in that context

    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
    BOOK
    -0.76
    ãĤ¤ãĥĪ
    -0.73
    ORGE
    -0.73
    xual
    -0.72
    ELS
    -0.70
     DIRECT
    -0.68
    EMS
    -0.66
    brates
    -0.65
    hower
    -0.63
    enegger
    -0.63
    POSITIVE LOGITS
    acy
    1.13
    acles
    0.99
    acet
    0.99
    atical
    0.98
    iform
    0.95
    abulary
    0.92
    acies
    0.88
    monary
    0.87
    acers
    0.85
    hett
    0.85
    Activations Density 0.008%

    No Known Activations