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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. 15101
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instances of slashes used in various contexts

    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
     Scrib
    -0.86
     Shooter
    -0.66
     Hip
    -0.66
     guid
    -0.62
     tabl
    -0.61
     millionaires
    -0.61
     achie
    -0.61
     Progress
    -0.60
     aspir
    -0.59
     chatter
    -0.59
    POSITIVE LOGITS
    or
    1.01
    possibly
    1.00
    probably
    0.99
    maybe
    0.94
    say
    0.93
    especially
    0.93
    usually
    0.93
    \/\/
    0.93
    sometimes
    0.92
    mostly
    0.91
    Activations Density 0.022%

    No Known Activations