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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. 9-RES-JB
    11. 5232
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    Explanations

    the word "Mon" followed by a single digit

    oai_token-act-pair · gpt-3.5-turbo
    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
    ACTED
    -0.80
     Norn
    -0.77
    FUL
    -0.74
    REE
    -0.71
    LES
    -0.63
    ANI
    -0.63
    ATOR
    -0.62
    EXP
    -0.61
    RAW
    -0.61
    enegger
    -0.60
    POSITIVE LOGITS
    itored
    1.31
    olith
    1.26
    stros
    1.25
    olithic
    1.22
    astery
    1.20
    soon
    1.14
    ograph
    1.13
    opoly
    1.12
    ographs
    1.10
    achus
    1.07
    Activations Density 0.026%

    No Known Activations