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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. 15439
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    INDEX
    Explanations

    phrases related to potential consequences faced by individuals or groups

    oai_token-act-pair · gpt-3.5-turbo

    issues related to facing challenges or penalties

    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
    player
    -0.75
    players
    -0.74
    meta
    -0.69
     Users
    -0.67
    atell
    -0.65
     Cth
    -0.64
     Humans
    -0.64
    REDACTED
    -0.63
    sama
    -0.63
    alian
    -0.62
    POSITIVE LOGITS
     preferential
    1.09
     protections
    1.00
     protection
    0.95
     deportation
    0.94
     refunds
    0.94
     treatment
    0.94
     disproportionately
    0.94
     undue
    0.93
     disproportionate
    0.90
     brunt
    0.89
    Activations Density 0.524%

    No Known Activations