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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. 10-RES-JB
    11. 1167
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    Explanations

    the word "much" when referring to a significant portion or extent of something

    oai_token-act-pair · gpt-3.5-turbo

    the frequency of the word "much" and its variations in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    İĭ
    -0.69
    opers
    -0.68
    hens
    -0.66
    abad
    -0.66
    sylv
    -0.66
    stice
    -0.65
    agate
    -0.65
    ocamp
    -0.64
     Tags
    -0.64
    achable
    -0.63
    POSITIVE LOGITS
     ado
    1.19
     appreciated
    0.82
     smaller
    0.75
     larger
    0.75
     stricter
    0.75
     simpler
    0.74
     else
    0.73
    needed
    0.72
     less
    0.71
     slower
    0.70
    Activations Density 0.066%

    No Known Activations