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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. 9-RES-JB
    6. 19149
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    Explanations

    mentions of the United States

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the abbreviation "U.S." or references to the United States

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theless
    -0.87
     STATS
    -0.71
     simmer
    -0.61
     unpre
    -0.60
     caution
    -0.59
    proof
    -0.56
     Cancel
    -0.55
     KP
    -0.55
     proportions
    -0.55
     organising
    -0.54
    POSITIVE LOGITS
    .,
    1.63
    .?
    1.36
    .;
    1.27
    .,"
    1.25
    .:
    1.24
    .-
    1.21
    ./
    1.19
    .—
    1.14
    .$
    1.05
    .),
    1.01
    Activations Density 0.053%

    No Known Activations