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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. 9-RES-JB
    11. 3226
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    INDEX
    Explanations

    names of specific individuals, particularly sports figures

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Troy" and related entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    INESS
    -0.73
    Availability
    -0.64
    iop
    -0.64
     CLSID
    -0.62
    TPS
    -0.61
    netflix
    -0.61
     macros
    -0.60
    iolet
    -0.60
    heads
    -0.59
    ascript
    -0.59
    POSITIVE LOGITS
    den
    0.87
    lot
    0.86
    nard
    0.85
    e
    0.78
    master
    0.77
    sg
    0.76
     Rez
    0.76
    onite
    0.76
    atile
    0.75
    erick
    0.74
    Activations Density 0.099%

    No Known Activations