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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. 22815
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    Explanations

    quotes or statements marked by specific symbols followed by a sentence

    oai_token-act-pair · gpt-3.5-turbo

    instances of quotation marks, likely indicating spoken dialogue or reported speech

    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
     indo
    -0.71
     disse
    -0.67
     shroud
    -0.66
     medd
    -0.65
     Dresden
    -0.65
     scatter
    -0.62
     interfere
    -0.61
     doomed
    -0.61
     Ferry
    -0.61
     Doodle
    -0.60
    POSITIVE LOGITS
    ¹
    1.18
    ª
    1.16
    ij
    1.11
    Ĵ
    1.11
    ³
    1.10
    ł
    1.10
    ¸
    1.08
    IJ
    1.06
    ı
    1.01
    ®
    1.00
    Activations Density 0.124%

    No Known Activations