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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. 10-RES-JB
    11. 23424
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    Explanations

    phrases related to preparation and readiness

    oai_token-act-pair · gpt-3.5-turbo

    terms related to preparation and readiness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    =-=-=-=-=-=-=-=-
    -0.76
    ĸļ
    -0.71
    76561
    -0.71
    ochet
    -0.70
    rored
    -0.68
    ignment
    -0.68
    utra
    -0.66
     itch
    -0.64
    rylic
    -0.64
    orph
    -0.63
    POSITIVE LOGITS
     for
    0.95
     beforehand
    0.94
    NESS
    0.81
     yourselves
    0.79
    Statement
    0.78
     meals
    0.78
     accordingly
    0.77
     FOR
    0.76
     ahead
    0.74
     oneself
    0.73
    Activations Density 0.072%

    No Known Activations