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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. 1-RES-JB
    11. 22619
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    INDEX
    Explanations

    mentions of specific locations or events

    oai_token-act-pair · gpt-3.5-turbo

    references to competitions or contests, particularly in a sporting context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wid
    -0.72
    zee
    -0.71
    gets
    -0.70
    ACTED
    -0.68
    eem
    -0.66
    gest
    -0.64
    gee
    -0.63
    REE
    -0.63
    prime
    -0.63
    fol
    -0.62
    POSITIVE LOGITS
    aval
    1.48
    anches
    1.06
    anche
    1.03
    cade
    0.89
     Caval
    0.86
     Aviation
    0.81
    abal
    0.78
    isson
    0.77
    itri
    0.77
    anguard
    0.77
    Activations Density 0.015%

    No Known Activations