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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. 4422
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    INDEX
    Explanations

    correct responses or actions

    oai_token-act-pair · gpt-3.5-turbo

    references to correctness or accuracy in context

    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
    hyde
    -0.76
    resources
    -0.72
    76561
    -0.72
     Alam
    -0.71
    oleon
    -0.69
    ĸļ
    -0.66
    RAW
    -0.66
    egal
    -0.66
    RED
    -0.64
    aden
    -0.63
    POSITIVE LOGITS
     corrected
    0.92
     alloc
    0.77
     aligned
    0.77
     guiActiveUn
    0.76
    icator
    0.75
    correct
    0.74
     correctly
    0.73
    pelled
    0.73
     propagate
    0.73
     enough
    0.73
    Activations Density 0.007%

    No Known Activations