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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. 16800
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    INDEX
    Explanations

    negative statements or contradictions

    oai_token-act-pair · gpt-3.5-turbo

    negation phrases or words indicating denial

    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
    anmar
    -0.74
    iery
    -0.67
    senal
    -0.66
    ngth
    -0.65
    cribed
    -0.65
    ugu
    -0.62
    obo
    -0.60
    unks
    -0.60
    owan
    -0.60
    arine
    -0.59
    POSITIVE LOGITS
    etheless
    0.82
     enough
    0.81
     necessarily
    0.77
     conclusive
    0.71
     nonetheless
    0.70
     unanimous
    0.69
     exact
    0.66
     deter
    0.65
     clin
    0.64
     sufficient
    0.63
    Activations Density 0.304%

    No Known Activations