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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. 3-RES-JB
    11. 18436
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    INDEX
    Explanations

    words related to referencing or recalling something mentioned earlier

    oai_token-act-pair · gpt-3.5-turbo

    references to previously stated items or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ared
    -0.78
    ARCH
    -0.75
    airs
    -0.75
    let
    -0.74
    asket
    -0.74
    pler
    -0.74
    RNA
    -0.73
    aling
    -0.72
    talk
    -0.71
    annis
    -0.69
    POSITIVE LOGITS
    mentioned
    0.87
     aforementioned
    0.80
     mentioned
    0.74
     caveats
    0.69
     disclaimer
    0.68
     obnoxious
    0.67
     insanity
    0.67
     infamous
    0.67
     pesky
    0.66
     scenario
    0.66
    Activations Density 0.026%

    No Known Activations