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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. 7-RES-JB
    6. 3176
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    INDEX
    Explanations

    references to large amounts of money being spent

    oai_token-act-pair · gpt-3.5-turbo

    financial figures and expenditures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ells
    -0.75
     departures
    -0.71
    itta
    -0.66
    edom
    -0.65
    PH
    -0.65
     shores
    -0.62
    comings
    -0.62
    ability
    -0.62
     emergence
    -0.61
     wearer
    -0.60
    POSITIVE LOGITS
     wisely
    1.03
     frivol
    0.92
     dollars
    0.87
    bucks
    0.86
     bucks
    0.82
     (£
    0.82
     subsid
    0.78
     incarcer
    0.76
    -$
    0.74
     ($
    0.73
    Activations Density 0.119%

    No Known Activations