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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. 4-RES-JB
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    Explanations

    numbers related to sports teams

    oai_token-act-pair · gpt-3.5-turbo

    numeric representations of statistics related to sports teams or events

    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
    ãĤ¤ãĥĪ
    -0.85
     Flavoring
    -0.83
     Pwr
    -0.78
    imaru
    -0.74
    Interstitial
    -0.68
     Situation
    -0.62
    imov
    -0.61
    bury
    -0.60
    worms
    -0.60
     rash
    -0.59
    POSITIVE LOGITS
    eenth
    1.00
    ers
    0.97
    een
    0.92
    er
    0.88
    ership
    0.86
    ing
    0.84
    hovah
    0.81
    inis
    0.78
    quartered
    0.78
    %-
    0.76
    Activations Density 0.050%

    No Known Activations