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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. 11-RES-JB
    11. 6200
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    INDEX
    Explanations

    companies and brands mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of company names or brands

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cue
    -0.73
    semble
    -0.71
    onies
    -0.70
    earance
    -0.66
    ipel
    -0.64
    reviewed
    -0.64
    ibus
    -0.63
    aber
    -0.63
    umbn
    -0.63
    lehem
    -0.62
    POSITIVE LOGITS
     executives
    1.24
     employees
    1.19
     shareholders
    1.08
     Stores
    1.07
     Enterprises
    1.00
     customers
    0.97
     Corporation
    0.97
     Employees
    0.95
     Labs
    0.95
     Customer
    0.92
    Activations Density 0.207%

    No Known Activations