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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. 8-RES-JB
    11. 507
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    INDEX
    Explanations

    sport scores formatted as "X-X-X."

    oai_token-act-pair · gpt-3.5-turbo

    negative outcomes or penalties in competitive contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Jaw
    -0.73
     Quartz
    -0.69
     Salon
    -0.65
     Feder
    -0.64
    imates
    -0.64
     Subtle
    -0.59
     Ki
    -0.59
     Cath
    -0.59
     Quan
    -0.59
     Shall
    -0.59
    POSITIVE LOGITS
    liter
    0.80
    rated
    0.80
    ranked
    0.79
    positive
    0.79
    carry
    0.79
    years
    0.78
    distance
    0.77
    2017
    0.76
    compatible
    0.76
    2001
    0.75
    Activations Density 0.041%

    No Known Activations