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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. 6197
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    Explanations

    phrases related to instructions or explanations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to descriptions and explanations of various topics

    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
    isol
    -0.72
    idity
    -0.69
    issy
    -0.67
    jay
    -0.64
    cot
    -0.64
    wh
    -0.63
     Canad
    -0.63
    por
    -0.63
    bor
    -0.63
    cop
    -0.62
    POSITIVE LOGITS
    escription
    0.87
     herein
    0.83
     inconsist
    0.83
    iferation
    0.77
    ãĤ´
    0.76
    ãĤ¶
    0.74
    ãĤ´ãĥ³
    0.74
     by
    0.73
     supra
    0.73
     Obj
    0.73
    Activations Density 0.174%

    No Known Activations