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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. 13250
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    Explanations

    terms related to large or important events or objects

    oai_token-act-pair · gpt-3.5-turbo

    specific words associated with the term "grand" and related concepts, particularly in reference to achievements or significant categories

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    jad
    -0.80
    aye
    -0.70
    ilater
    -0.68
    ogyn
    -0.64
    warm
    -0.63
    lus
    -0.63
     mosquit
    -0.62
    urat
    -0.61
    nesday
    -0.61
    unte
    -0.60
    POSITIVE LOGITS
    Grand
    0.71
    代
    0.69
    itles
    0.66
    Winged
    0.63
    ¯
    0.63
    ¯¯
    0.62
    ceptor
    0.62
    Font
    0.61
     Riding
    0.60
    utenant
    0.60
    Activations Density 0.133%

    No Known Activations