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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. 5306
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    INDEX
    Explanations

    statements of negation or refusal

    oai_token-act-pair · gpt-3.5-turbo

    negations or phrases indicating what will not happen or be accepted

    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
    Kings
    -0.71
    Nice
    -0.69
    OSP
    -0.65
     Measures
    -0.64
    Must
    -0.63
    quickShipAvailable
    -0.63
    essor
    -0.63
    Nine
    -0.62
    Disclaimer
    -0.60
    Knight
    -0.59
    POSITIVE LOGITS
     necessarily
    1.20
     tolerate
    1.17
     be
    0.99
    ogle
    0.98
    icably
    0.96
     bud
    0.95
     hesitate
    0.95
     bother
    0.92
     interfere
    0.91
     allow
    0.89
    Activations Density 0.081%

    No Known Activations