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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. 11-RES-JB
    11. 20879
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    Explanations

    comparisons between different entities in terms of progress or success with some entities being ahead and others falling behind

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to comparative metrics and standings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CVE
    -0.74
    witch
    -0.66
    IGHTS
    -0.65
    xus
    -0.63
    zanne
    -0.62
    Cmd
    -0.62
     Reson
    -0.60
    kef
    -0.60
    >[
    -0.59
    wy
    -0.59
    POSITIVE LOGITS
     rivals
    1.23
     competitors
    1.18
     peers
    1.07
     contemporaries
    1.06
     others
    1.02
     rival
    1.02
     pace
    0.97
     nearest
    0.97
     schedule
    0.95
     fellow
    0.93
    Activations Density 0.219%

    No Known Activations