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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. 3100
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    Explanations

    adverbs ending in '-ly'

    oai_token-act-pair · gpt-3.5-turbo

    adverbs or adverbial phrases that modify actions or descriptions

    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
    afety
    -0.84
    ilater
    -0.81
    emetery
    -0.80
    raltar
    -0.75
    etter
    -0.71
    eland
    -0.71
    ĸļ
    -0.69
    ļéĨĴ
    -0.68
     GOODMAN
    -0.67
    Connector
    -0.66
    POSITIVE LOGITS
     priced
    0.90
     titled
    0.84
    rics
    0.83
     construed
    0.79
    tics
    0.79
    forward
    0.78
     styled
    0.76
     sized
    0.75
    named
    0.75
     disposed
    0.74
    Activations Density 0.104%

    No Known Activations