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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 976
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    INDEX
    Explanations

    legal and procedural terms

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and legal references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    byn
    -0.81
    orld
    -0.75
    emale
    -0.72
    trl
    -0.71
    krit
    -0.70
    ocre
    -0.69
    avid
    -0.69
    enes
    -0.69
    avorite
    -0.69
    outube
    -0.69
    POSITIVE LOGITS
    APTER
    1.09
    §
    1.08
     Notwithstanding
    1.00
     subparagraph
    0.96
     ``(
    0.96
     subsection
    0.94
    .--
    0.92
     Appropri
    0.91
    .''.
    0.90
     enactment
    0.90
    Activations Density 0.291%

    No Known Activations