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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. 9-RES-JB
    11. 14205
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    Explanations

    phrases indicating disbelief or surprise

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating disbelief or skepticism

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 9 - surprise

    No Comments

    Negative Logits
    onential
    -0.65
    ufact
    -0.63
     tremend
    -0.62
    ãĥĻ
    -0.61
    onym
    -0.60
    aba
    -0.60
    lling
    -0.60
    rir
    -0.60
    ilan
    -0.60
    oru
    -0.59
    POSITIVE LOGITS
    ,
    0.91
    ,.
    0.83
    ,...
    0.76
    ,,
    0.71
    ,-
    0.69
    .,
    0.67
    :
    0.61
     glance
    0.61
    :,
    0.60
    ,,,,
    0.59
    Activations Density 0.165%

    No Known Activations