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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. 22796
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    INDEX
    Explanations

    facts or characteristics about various species and populations

    oai_token-act-pair · gpt-3.5-turbo

    references to species, their dependencies, and associated human interactions

    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
    =~
    -0.75
    atever
    -0.75
     Anyone
    -0.75
     whichever
    -0.75
    -+
    -0.74
    =-=-
    -0.72
    ————————
    -0.72
    --------------------------------------------------------
    -0.68
    Anyone
    -0.68
    livion
    -0.67
    POSITIVE LOGITS
     downright
    0.93
     outright
    0.81
     even
    0.79
     overlap
    0.76
     prefer
    0.74
     specialize
    0.72
    rosso
    0.71
     particularly
    0.70
    Nusra
    0.69
     worse
    0.69
    Activations Density 0.342%

    No Known Activations