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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

    various mentions of sports fighting events

    oai_token-act-pair · gpt-3.5-turbo

    references to competitive fights or fight 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
    essage
    -0.79
    eus
    -0.76
    etheless
    -0.74
     Seym
    -0.73
    pex
    -0.68
    evil
    -0.66
    asure
    -0.65
    asper
    -0.65
    GES
    -0.64
    IELD
    -0.64
    POSITIVE LOGITS
    fight
    0.83
     fights
    0.83
    fights
    0.79
     Fight
    0.79
     against
    0.78
    igraph
    0.78
     FIGHT
    0.76
     fight
    0.75
    fighting
    0.75
    athon
    0.74
    Activations Density 0.027%

    No Known Activations