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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. 2-RES-JB
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    text related to American football touchdowns

    oai_token-act-pair · gpt-3.5-turbo

    references to touchdowns in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lly
    -0.90
    remlin
    -0.80
    assetsadobe
    -0.75
    oid
    -0.74
    arest
    -0.70
    yu
    -0.69
    hin
    -0.68
    erker
    -0.66
    azer
    -0.66
    aspers
    -0.65
    POSITIVE LOGITS
     touchdown
    1.04
     touchdowns
    0.95
     receptions
    0.70
     reception
    0.68
     rusher
    0.67
     scored
    0.63
    jam
    0.63
    onso
    0.61
     TDs
    0.60
    charg
    0.60
    Activations Density 0.006%

    No Known Activations