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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. 6-RES-JB
    11. 18715
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    structured phrases or commands in a text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asty
    -0.66
    ichick
    -0.65
    ery
    -0.62
    force
    -0.61
    ittal
    -0.60
    tarian
    -0.59
    ibur
    -0.57
    lez
    -0.56
     refres
    -0.56
    lists
    -0.56
    POSITIVE LOGITS
     EDITION
    1.28
    MENT
    1.19
    HEAD
    1.19
    AGES
    1.15
    LET
    1.13
    URA
    1.13
    BALL
    1.13
    WOR
    1.11
     DAY
    1.09
    LI
    1.08
    Activations Density 0.260%

    No Known Activations