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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. 4-RES-JB
    6. 20372
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    INDEX
    Explanations

    words related to sports statistics or achievements

    oai_token-act-pair · gpt-3.5-turbo

    references to past sports seasons and their outcomes

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

    No Comments

    Negative Logits
    oola
    -0.83
    aband
    -0.78
    kaya
    -0.72
    ordes
    -0.68
    idential
    -0.68
    aunders
    -0.67
    edu
    -0.67
    folios
    -0.66
    ongs
    -0.66
    Lago
    -0.66
    POSITIVE LOGITS
     week
    1.02
     ditch
    0.99
     month
    0.95
     season
    0.93
     year
    0.90
     gasp
    0.89
     night
    0.87
     minute
    0.81
     semester
    0.81
     summer
    0.79
    Activations Density 0.058%

    No Known Activations