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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. 6-RES-JB
    11. 7627
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Replay" in the document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    kers
    -0.79
    antle
    -0.75
    ker
    -0.67
     sucker
    -0.67
    pora
    -0.66
    esan
    -0.65
     plat
    -0.65
    ocene
    -0.65
    akra
    -0.64
    ult
    -0.64
    POSITIVE LOGITS
     Replay
    0.95
     WATCHED
    0.78
    Ħ¢
    0.72
    ique
    0.71
    icators
    0.67
    acher
    0.64
     WATCH
    0.64
    IFF
    0.64
    artz
    0.64
    INGS
    0.64
    Activations Density 0.015%

    No Known Activations