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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. 17370
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    Explanations

    expressions related to programming languages and technical protocols

    oai_token-act-pair · gpt-3.5-turbo

    references to metrics and data analysis

    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
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    Negative Logits
    gypt
    -0.73
    auder
    -0.69
     Unch
    -0.69
    querque
    -0.68
    agos
    -0.68
     shells
    -0.67
    auld
    -0.65
    Bird
    -0.65
     shell
    -0.64
    inois
    -0.64
    POSITIVE LOGITS
    200000
    0.85
    pixel
    0.76
    dden
    0.74
     HRC
    0.69
    Shift
    0.65
    ׾
    0.65
    VALUE
    0.65
    YP
    0.64
    osi
    0.64
    09
    0.64
    Activations Density 0.144%

    No Known Activations