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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. 9857
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    Explanations

    names or terms related to specific individuals or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "diabetes" and its variations

    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
    ãĤ´ãĥ³
    -0.78
     responsiveness
    -0.63
     orphans
    -0.63
     envy
    -0.62
     fool
    -0.61
    ĵĺ
    -0.61
     Wong
    -0.61
    CLASS
    -0.60
     heels
    -0.59
     pains
    -0.58
    POSITIVE LOGITS
    pora
    1.21
    ritical
    0.85
    nih
    0.84
    arb
    0.81
    ect
    0.78
    ibur
    0.77
    etus
    0.77
    incial
    0.76
    ritic
    0.76
    asio
    0.75
    Activations Density 0.057%

    No Known Activations