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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. 8533
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    INDEX
    Explanations

    phrases related to providing information, explanations, or opportunities

    oai_token-act-pair · gpt-3.5-turbo

    various forms of the verb "provide" and its context in describing support or benefits

    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
    pine
    -0.76
    conn
    -0.66
    intend
    -0.66
    dirty
    -0.64
    luaj
    -0.63
    verend
    -0.63
    blade
    -0.63
    doctor
    -0.62
    dan
    -0.61
    clone
    -0.61
    POSITIVE LOGITS
     insight
    1.23
     ample
    1.21
     opportunities
    1.17
     clues
    1.15
     impetus
    1.12
     fodder
    1.10
     insights
    1.06
     avenues
    1.04
     valuable
    1.01
     opportunity
    0.99
    Activations Density 0.110%

    No Known Activations