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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 22459
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    Explanations

    highlight and emphasize specific concepts or topics within longer texts or articles, often related to targets, events, or entities

    oai_token-act-pair · gpt-3.5-turbo

    elements related to governance and systems

    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
    verbs
    -0.67
    Parameters
    -0.63
    FLAG
    -0.62
    Lear
    -0.62
    à¨
    -0.61
    =]
    -0.61
    OUS
    -0.61
    tech
    -0.59
    xious
    -0.59
    less
    -0.59
    POSITIVE LOGITS
    hip
    1.28
    cape
    1.24
    cale
    1.22
    mith
    1.16
    etter
    1.13
    heet
    1.11
    hips
    1.10
    etting
    1.07
    pring
    1.04
    pace
    1.04
    Activations Density 0.655%

    No Known Activations