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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. 10-RES-JB
    11. 4538
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    INDEX
    Explanations

    contractions and informal language, often with a negative sentiment

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating denial or negation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    interstitial
    -0.69
     Continued
    -0.69
    accompan
    -0.69
    ¿½
    -0.67
    edIn
    -0.67
    senal
    -0.64
    Ĭ±
    -0.64
    76561
    -0.63
    INGTON
    -0.63
     antioxid
    -0.63
    POSITIVE LOGITS
     hesitate
    1.31
     realize
    1.28
     realise
    1.28
     anticipate
    1.19
     bother
    1.18
     arrive
    1.17
     stumble
    1.16
     succeed
    1.16
     manage
    1.12
     mention
    1.11
    Activations Density 0.165%

    No Known Activations