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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. 1-RES-JB
    11. 14106
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    Explanations

    sentences or phrases starting with non-standard characters like symbols

    oai_token-act-pair · gpt-3.5-turbo

    the special character "âĢĶ" in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ordinate
    -0.83
    worms
    -0.79
     exting
    -0.78
     metic
    -0.78
    ignty
    -0.77
    onds
    -0.76
     foc
    -0.73
     defic
    -0.72
     unnecess
    -0.71
     intangible
    -0.71
    POSITIVE LOGITS
    ————————
    1.57
    ————
    1.51
    ————————————————
    1.28
    ——
    1.13
    ––
    1.06
    âĢķ
    0.94
    —-
    0.92
    âĢ¢âĢ¢
    0.86
     âĢķ
    0.77
    Marginal
    0.77
    Activations Density 0.066%

    No Known Activations