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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. 1-RES-JB
    6. 4518
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    INDEX
    Explanations

    indications or hints of something in a text

    oai_token-act-pair · gpt-3.5-turbo

    recurring patterns or indicators of a certain situation or condition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ISH
    -0.80
    ARY
    -0.78
    NES
    -0.75
    âĨij
    -0.72
    UTE
    -0.72
    UNCH
    -0.71
    =~=~
    -0.70
    POSE
    -0.70
    Sah
    -0.70
    ASE
    -0.69
    POSITIVE LOGITS
     signs
    1.42
     Signs
    1.41
     sign
    1.11
    igmatic
    1.01
     signage
    0.88
     Sign
    0.86
    posts
    0.85
    sign
    0.84
    oresc
    0.81
    achy
    0.80
    Activations Density 0.009%

    No Known Activations