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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. 8806
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    Explanations

    phrases related to scheduled events

    oai_token-act-pair · gpt-3.5-turbo

    mentions of scheduled events or releases

    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
    vine
    -0.72
    abba
    -0.71
    igans
    -0.68
    rity
    -0.67
    goo
    -0.67
    roy
    -0.63
    dad
    -0.63
    tein
    -0.63
    tek
    -0.63
    aroo
    -0.62
    POSITIVE LOGITS
     Parenthood
    1.27
    uled
    0.81
    dule
    0.80
     downtime
    0.77
     satell
    0.73
     obs
    0.73
     dates
    0.71
     TBD
    0.71
     filler
    0.70
     idle
    0.69
    Activations Density 0.049%

    No Known Activations