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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. 11835
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    Explanations

    contractions of words

    oai_token-act-pair · gpt-3.5-turbo

    negative contractions and their emphatic uses

    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
    interstitial
    -0.79
     Continued
    -0.73
    soType
    -0.70
     Cutter
    -0.69
    itiz
    -0.68
     Canter
    -0.65
    tons
    -0.65
    lined
    -0.64
    stakes
    -0.64
    Maker
    -0.64
    POSITIVE LOGITS
     hesitate
    1.21
     necessarily
    1.16
     bother
    1.15
     specify
    1.05
     intend
    1.05
     realize
    1.03
     realise
    1.02
     mention
    0.99
     anticipate
    0.98
     disclose
    0.96
    Activations Density 0.093%

    No Known Activations