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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. 5171
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    Explanations

    specific years or time durations

    oai_token-act-pair · gpt-3.5-turbo

    references to significant historical anniversaries or events

    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
    Otherwise
    -0.71
    Hide
    -0.70
    uci
    -0.69
    oras
    -0.67
    Roaming
    -0.65
    Alternatively
    -0.64
    fen
    -0.62
    Deal
    -0.61
    vid
    -0.61
    ppings
    -0.61
    POSITIVE LOGITS
     still
    0.83
     Congratulations
    0.77
     finally
    0.73
     nearing
    0.71
     counting
    0.68
     gloom
    0.68
    still
    0.67
     revis
    0.66
     FIN
    0.66
     backlog
    0.65
    Activations Density 0.789%

    No Known Activations