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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. 23114
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    INDEX
    Explanations

    mentions of a physical pool

    oai_token-act-pair · gpt-3.5-turbo

    references to a "pool."

    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
    rians
    -0.71
    ths
    -0.65
    qqa
    -0.65
    sounding
    -0.62
    rian
    -0.61
    sbm
    -0.60
    ead
    -0.59
    DonaldTrump
    -0.59
    phasis
    -0.58
    selves
    -0.58
    POSITIVE LOGITS
     pool
    1.39
    pool
    1.33
     Pool
    1.23
     pools
    1.19
    Pool
    1.03
    regate
    0.93
    hare
    0.80
    hall
    0.78
    folio
    0.77
    esville
    0.76
    Activations Density 0.005%

    No Known Activations