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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. 7-RES-JB
    11. 9005
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    Explanations

    commands or requests in the form of questions or directives

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and symbols, particularly commas and colons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cube
    -0.90
    Cube
    -0.72
    Face
    -0.71
    grain
    -0.70
    uchin
    -0.69
    amas
    -0.68
    ilic
    -0.68
    enne
    -0.68
    onym
    -0.64
    woods
    -0.64
    POSITIVE LOGITS
     âĢ
    1.35
     ¶
    1.09
     **
    1.04
     *
    1.03
     ***
    1.03
     ._
    1.03
     ;
    1.01
     ~
    0.96
     Âł Âł Âł Âł
    0.95
     âĢ¢
    0.94
    Activations Density 0.252%

    No Known Activations