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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. 11-RES-JB
    11. 7075
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    Explanations

    specific words related to a certain location or name, specifically "Bah"

    oai_token-act-pair · gpt-3.5-turbo

    the occurrences of the word "Bah" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Spokane
    -0.67
    ographers
    -0.66
    isite
    -0.63
     Span
    -0.63
    ovic
    -0.61
    ilver
    -0.61
    odox
    -0.60
    resses
    -0.59
    imus
    -0.59
     Weed
    -0.59
    POSITIVE LOGITS
    nam
    0.81
    TeX
    0.81
    ©
    0.80
    ls
    0.79
    ´
    0.79
    ·
    0.79
    ¨
    0.78
    ennes
    0.77
    gu
    0.76
    ®
    0.75
    Activations Density 0.120%

    No Known Activations