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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. 0-RES-JB
    11. 10365
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    Explanations

    words related to geographical locations, especially those related to water bodies

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the prefix "se" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utics
    -0.77
    ooters
    -0.76
    eworks
    -0.75
    tons
    -0.73
    BILITIES
    -0.72
    enko
    -0.71
     Zup
    -0.69
    frog
    -0.68
    unch
    -0.67
     Abby
    -0.67
    POSITIVE LOGITS
     se
    3.49
     Se
    1.72
    se
    1.41
    Se
    1.37
     seam
    1.26
     SE
    1.23
    Seg
    1.22
     sew
    1.17
     ste
    1.13
     unse
    1.07
    Activations Density 0.017%

    No Known Activations