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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. 8-RES-JB
    11. 11299
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    Explanations

    phrases or words related to being behind or lagging

    oai_token-act-pair · gpt-3.5-turbo

    terms related to lagging or trailing performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     eman
    -0.79
    ãĥ¼ãĥĨãĤ£
    -0.73
    Closure
    -0.72
    ãĥĨãĤ£
    -0.65
     pier
    -0.63
     Extensions
    -0.62
    é¾
    -0.62
     vic
    -0.61
    escal
    -0.61
    ":"/
    -0.61
    POSITIVE LOGITS
    ienced
    0.84
    ministic
    0.77
    pend
    0.75
     competitors
    0.70
    pid
    0.70
     academ
    0.69
    beat
    0.69
     contemporaries
    0.69
    stood
    0.68
     economically
    0.67
    Activations Density 0.106%

    No Known Activations