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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. 5-RES-JB
    6. 22581
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    Explanations

    names or words ending with "ers" and related to various contexts like people, places, and organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to groups of people or collective identities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ADRA
    -0.70
    SIGN
    -0.68
    URRENT
    -0.67
    SPEC
    -0.65
    ATIONAL
    -0.64
     forfeiture
    -0.63
     numerical
    -0.59
    ETA
    -0.58
    PUT
    -0.58
    GoldMagikarp
    -0.57
    POSITIVE LOGITS
    mith
    1.21
    haw
    1.13
    pace
    1.10
    ucker
    1.10
    linger
    1.09
    paces
    1.04
    cream
    1.04
    erker
    1.03
    peed
    1.02
    leeve
    1.01
    Activations Density 0.048%

    No Known Activations