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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. 8587
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    INDEX
    Explanations

    instances where a game is played multiple times

    oai_token-act-pair · gpt-3.5-turbo

    references to votes and voting processes

    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
     Sven
    -0.73
     Judd
    -0.68
     Darling
    -0.66
     Wash
    -0.65
     Comet
    -0.65
     Wem
    -0.60
     Paw
    -0.60
     Tah
    -0.59
     warning
    -0.59
     Coco
    -0.59
    POSITIVE LOGITS
    âĶĢâĶĢâĶĢâĶĢ
    0.93
    armac
    0.66
    ¶æ
    0.65
    §
    0.63
    Roaming
    0.63
    Palest
    0.63
    aria
    0.62
    eger
    0.61
    Total
    0.61
    abus
    0.61
    Activations Density 0.151%

    No Known Activations