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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. 6-RES-JB
    11. 1013
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    INDEX
    Explanations

    percentage discounts mentioned in texts

    oai_token-act-pair · gpt-3.5-turbo

    percentages and discounts related to sales or offers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aries
    -0.69
    psons
    -0.66
    ITED
    -0.66
    verett
    -0.63
    iden
    -0.63
    ournals
    -0.63
    lict
    -0.63
     gatherings
    -0.61
    itiz
    -0.61
    ciating
    -0.61
    POSITIVE LOGITS
     ABV
    0.82
    +)
    0.81
     royalties
    0.78
    +
    0.76
    +.
    0.74
    ï¸ı
    0.74
     opacity
    0.73
    +,
    0.71
    xual
    0.70
     throttle
    0.70
    Activations Density 0.051%

    No Known Activations