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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. 6245
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    Explanations

    specific special characters, potentially for technical tasks or language parsing

    oai_token-act-pair · gpt-3.5-turbo

    sequences or symbols related to specific concepts or ideas, possibly denoting emphasis or significance

    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
     Row
    -0.85
     metic
    -0.83
     Ivy
    -0.82
     Day
    -0.80
     Eps
    -0.80
     Shield
    -0.78
     Polk
    -0.78
     bubble
    -0.76
     Opinion
    -0.76
     Jinn
    -0.76
    POSITIVE LOGITS
    also
    1.67
    since
    1.66
    when
    1.65
    requ
    1.65
    each
    1.64
    they
    1.63
    these
    1.62
    that
    1.61
    need
    1.61
    you
    1.60
    Activations Density 0.402%

    No Known Activations