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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. 5200
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    Explanations

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    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
    terday
    -0.85
    OHN
    -0.71
    OPLE
    -0.71
    leaf
    -0.65
     skirts
    -0.65
     McMaster
    -0.65
    FILE
    -0.63
     Forth
    -0.63
    hog
    -0.63
    gamer
    -0.62
    POSITIVE LOGITS
    icable
    1.64
    icator
    1.59
    icative
    1.53
    icate
    1.45
    icators
    1.43
    icating
    1.41
    icated
    1.29
    ications
    1.27
    ication
    1.26
    iqu
    1.23
    Activations Density 0.064%

    No Known Activations