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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. 13737
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    Explanations

    technical specifications related to computer processors and updates

    oai_token-act-pair · gpt-3.5-turbo

    technical specifications and details related to hardware, particularly processors and their capabilities

    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
     embell
    -0.72
     Cosponsors
    -0.69
    lease
    -0.67
    iture
    -0.67
    andise
    -0.65
    hement
    -0.64
    manship
    -0.64
    tein
    -0.62
    ctors
    -0.61
    ierrez
    -0.61
    POSITIVE LOGITS
    ĸļ
    0.76
    tails
    0.72
    fig
    0.69
    clock
    0.69
    989
    0.68
    motion
    0.64
    940
    0.62
    Gender
    0.62
    090
    0.62
    576
    0.61
    Activations Density 0.150%

    No Known Activations