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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. 11-RES-JB
    11. 4978
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    INDEX
    Explanations

    phrases indicating a positive evaluation or recommendation

    oai_token-act-pair · gpt-3.5-turbo

    phrases that highlight positive qualities and recommendations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rahim
    -0.90
    reys
    -0.80
    uthor
    -0.78
    events
    -0.74
    qus
    -0.70
    rey
    -0.70
    letters
    -0.70
    Statistics
    -0.69
    yrights
    -0.69
    json
    -0.68
    POSITIVE LOGITS
     accompan
    1.37
     choice
    1.20
     starter
    1.13
     option
    1.12
     snack
    1.12
     companion
    1.11
     substitute
    1.11
     accessory
    1.09
     replacement
    1.07
     addition
    1.06
    Activations Density 0.185%

    No Known Activations