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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. 2-RES-JB
    11. 3208
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    Explanations

    terms related to a specific company or organization, such as "Com" and "Comerica."

    oai_token-act-pair · gpt-3.5-turbo

    references to "Com," indicating a focus on a specific organization or committee

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kubrick
    -0.86
    Beck
    -0.69
    terday
    -0.68
     Mara
    -0.66
     harbor
    -0.63
    514
    -0.63
     Kislyak
    -0.62
     Icelandic
    -0.62
     halfway
    -0.61
     shatter
    -0.60
    POSITIVE LOGITS
    ptroller
    1.32
    pletion
    1.20
    mented
    1.08
    pleting
    1.06
    ittee
    1.06
    fortable
    1.06
    plement
    1.04
    legate
    1.01
    intern
    0.99
    plete
    0.98
    Activations Density 0.010%

    No Known Activations