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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 16779
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    specific structured data or information formatted in a list or numbered outline

    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
    ichick
    -0.78
    uggest
    -0.72
    iden
    -0.65
    ittal
    -0.64
    hens
    -0.64
     refres
    -0.64
    ivable
    -0.63
    ollow
    -0.63
    ards
    -0.63
    onomous
    -0.62
    POSITIVE LOGITS
    HEAD
    1.14
    WORK
    1.14
    HAM
    1.12
    MENT
    1.12
    LET
    1.08
     SCHOOL
    1.04
     EDITION
    1.03
     HOL
    1.01
    URA
    1.01
    TOP
    1.01
    Activations Density 0.268%

    No Known Activations