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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. 8023
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    Explanations

    phrases or sentences with a negative tone

    oai_token-act-pair · gpt-3.5-turbo

    negations and assertions of inability or lack

    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
     eleph
    -1.01
     pione
    -0.94
    ò
    -0.93
    Þ
    -0.93
     exting
    -0.91
    ą
    -0.88
    é¾įå¥
    -0.88
    ñ
    -0.88
    Ě
    -0.88
     externalTo
    -0.88
    POSITIVE LOGITS
    't
    1.60
    ´
    0.89
    ÃŃ
    0.87
    ned
    0.82
    uts
    0.78
    athan
    0.72
    etsk
    0.70
    Ä
    0.69
    ald
    0.69
    imir
    0.68
    Activations Density 0.163%

    No Known Activations