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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. 19672
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    oai_token-act-pair · gpt-3.5-turbo

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    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
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    No Comments

    Negative Logits
    atra
    -0.67
    doi
    -0.66
    Drop
    -0.66
    abase
    -0.66
    gas
    -0.66
    ometric
    -0.65
    Tech
    -0.64
    SourceFile
    -0.64
    stock
    -0.64
    ï¸ı
    -0.63
    POSITIVE LOGITS
    rollers
    0.70
    ciation
    0.70
    ioned
    0.66
     guiActiveUnfocused
    0.65
     pamph
    0.63
    hesion
    0.62
     Finder
    0.62
    itant
    0.60
    enburg
    0.59
    itaire
    0.57
    Activations Density 0.618%

    No Known Activations