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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. 10559
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    Explanations

    comparative words and phrases indicating degree or frequency

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express frequency or intensity of actions

    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
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    Negative Logits
    adish
    -0.67
    ammy
    -0.66
     Difference
    -0.62
     Ki
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    opa
    -0.58
     DRAG
    -0.58
    atto
    -0.57
     Asset
    -0.56
     Pant
    -0.56
     Ideal
    -0.56
    POSITIVE LOGITS
    ilaterally
    0.84
     spor
    0.79
    terday
    0.78
    onto
    0.78
     differently
    0.74
    actively
    0.72
     inconsist
    0.70
     mornings
    0.70
     exting
    0.70
     bec
    0.68
    Activations Density 0.251%

    No Known Activations