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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 89
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    Explanations

    numerical values in a specific format, possibly related to pages or sections of a document

    oai_token-act-pair · gpt-3.5-turbo

    specific numerical data and monetary values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •Many-Token Promoting Features
    Space + All Caps

    No Comments

    Negative Logits
    aily
    -0.82
    cephal
    -0.78
    ciplinary
    -0.78
    ascript
    -0.76
    achev
    -0.73
    ogan
    -0.73
    gebra
    -0.71
    sie
    -0.70
    unal
    -0.70
    aber
    -0.70
    POSITIVE LOGITS
     WA
    1.35
     HI
    1.32
     MI
    1.32
     FL
    1.31
     DE
    1.29
     SC
    1.28
     SEA
    1.27
     FR
    1.26
     ON
    1.25
     NET
    1.25
    Activations Density 0.284%

    No Known Activations