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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. 16347
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    Explanations

    references to various forms of bias

    oai_token-act-pair · gpt-3.5-turbo

    references to bias in various contexts

    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
    export
    -0.83
    clamation
    -0.78
    isting
    -0.78
    ership
    -0.74
    PATH
    -0.73
    esc
    -0.71
    cel
    -0.70
    xxxx
    -0.70
    si
    -0.70
    Interstitial
    -0.69
    POSITIVE LOGITS
     bias
    1.09
     biases
    1.05
     prejud
    0.91
     inference
    0.88
     towards
    0.87
     biased
    0.86
     toward
    0.85
     prejudice
    0.85
     favoring
    0.83
     detector
    0.81
    Activations Density 0.009%

    No Known Activations