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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. 5461
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    INDEX
    Explanations

    phrases related to emphasis or focus

    oai_token-act-pair · gpt-3.5-turbo

    prepositions related to contextual conditions or circumstances

    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
    Not in Any Lists

    No Comments

    Negative Logits
    also
    -0.73
    offic
    -0.68
     likewise
    -0.65
    uin
    -0.64
    encies
    -0.64
    successfully
    -0.64
    only
    -0.63
    eva
    -0.62
    ciation
    -0.62
     satisfies
    -0.62
    POSITIVE LOGITS
     regards
    0.96
     regard
    0.89
     younger
    0.75
    irtual
    0.71
     areas
    0.69
     females
    0.65
     respect
    0.65
     crowded
    0.63
     dealing
    0.63
     women
    0.63
    Activations Density 0.201%

    No Known Activations