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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
    11. 16319
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    Explanations

    phrases related to a specific individual's name with emphasis on their importance or involvement in various activities

    oai_token-act-pair · gpt-3.5-turbo

    references to specific names and titles, particularly in relation to people and entities

    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
    antha
    -0.78
    picking
    -0.73
     Colleges
    -0.72
    ray
    -0.71
    RY
    -0.70
    atted
    -0.69
    orth
    -0.69
    folio
    -0.67
    folios
    -0.66
    rily
    -0.65
    POSITIVE LOGITS
    bris
    0.89
     stool
    0.88
    velop
    0.82
    ĸļ
    0.81
    ptic
    0.80
    ploy
    0.80
    BuyableInstoreAndOnline
    0.79
    phrine
    0.78
    ptin
    0.77
    ppelin
    0.76
    Activations Density 0.027%

    No Known Activations