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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. 4-RES-JB
    11. 15310
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    Explanations

    expressions related to losing in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "lost to" followed by a numerical value

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

    No Comments

    Negative Logits
    itbart
    -0.72
    igr
    -0.70
    resa
    -0.69
    stories
    -0.68
    lla
    -0.68
    ipes
    -0.68
    alities
    -0.66
    alis
    -0.66
    vier
    -0.65
    iola
    -0.64
    POSITIVE LOGITS
    pload
    0.87
     Flavoring
    0.77
    entin
    0.76
     appease
    0.75
     defeat
    0.74
    uton
    0.73
     fend
    0.72
     commemorate
    0.69
    otin
    0.68
     Defeat
    0.67
    Activations Density 0.117%

    No Known Activations