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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. 3-RES-JB
    11. 17722
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    batch
    -0.80
     Mellon
    -0.71
    dit
    -0.66
    utions
    -0.66
    eas
    -0.65
    wik
    -0.64
    pots
    -0.63
    take
    -0.62
     NCT
    -0.61
    ername
    -0.60
    POSITIVE LOGITS
    ormal
    0.84
    ĸļ
    0.80
    olithic
    0.74
    retty
    0.74
    ovember
    0.73
    okin
    0.71
    ritch
    0.71
    uggle
    0.71
     guiActiveUn
    0.69
    etsk
    0.68
    Activations Density 0.025%

    No Known Activations