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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. 11-RES-JB
    11. 1023
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    Explanations

    contractions with 't and uppercased letters, possibly related to avoiding errors in text

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating negation or refusal

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    isSpecialOrderable
    -0.88
    Newsletter
    -0.74
    ESE
    -0.72
     Excellent
    -0.65
    hon
    -0.65
     virtues
    -0.65
    tymology
    -0.64
     Kinnikuman
    -0.62
    urrencies
    -0.62
     acceptance
    -0.61
    POSITIVE LOGITS
     disturb
    1.09
     interfere
    1.05
     overwhelm
    1.02
     accidentally
    1.02
     impede
    1.02
     overcrowd
    0.99
    interrupted
    0.99
     interfered
    0.98
     suffer
    0.98
     bog
    0.98
    Activations Density 0.235%

    No Known Activations