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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. 9-RES-JB
    11. 20193
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    INDEX
    Explanations

    mentions of academic institutions

    oai_token-act-pair · gpt-3.5-turbo

    references to locations and institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -0.92
    llah
    -0.73
    umatic
    -0.69
    merga
    -0.68
    ĺħ
    -0.67
    76561
    -0.66
    ophob
    -0.64
    filter
    -0.64
     smugglers
    -0.62
    poll
    -0.62
    POSITIVE LOGITS
     conjunction
    1.18
     Pasadena
    1.08
     Philadelphia
    1.06
     Melbourne
    1.00
     London
    1.00
     Pennsylvania
    1.00
     Arlington
    0.99
     Manhattan
    0.97
     California
    0.97
     Minneapolis
    0.97
    Activations Density 0.146%

    No Known Activations