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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. 17749
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    Explanations

    statements conveyed through direct speech

    oai_token-act-pair · gpt-3.5-turbo

    the repeated use of the word "said" in dialogue

    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
    xtap
    -0.76
    cv
    -0.71
    pleting
    -0.71
    ãĥ´
    -0.67
    estern
    -0.64
    wx
    -0.64
    ogether
    -0.62
    =~=~
    -0.62
    egal
    -0.61
    apult
    -0.61
    POSITIVE LOGITS
     goodbye
    1.37
     hello
    1.15
     bye
    1.07
     nothing
    0.93
     aloud
    0.93
     yes
    0.89
     hi
    0.88
     hey
    0.83
     farewell
    0.83
     something
    0.82
    Activations Density 0.170%

    No Known Activations