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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. 7-RES-JB
    11. 8592
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    words related to textual formatting or formatting instructions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     overhe
    -0.75
    netflix
    -0.74
    BuyableInstoreAndOnline
    -0.70
    Blu
    -0.68
     apparel
    -0.68
     assum
    -0.66
    Kin
    -0.65
     contag
    -0.65
    cdn
    -0.64
    TOR
    -0.64
    POSITIVE LOGITS
     aster
    1.21
     denotes
    1.17
     denote
    1.14
     vowel
    1.11
     initials
    1.11
     suffix
    1.11
     letters
    1.07
     brackets
    1.07
     comma
    1.04
     prefix
    1.03
    Activations Density 0.457%

    No Known Activations