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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. 5244
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    oai_token-act-pair · gpt-3.5-turbo

    references to various media sources and platforms

    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
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    afer
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    aga
    -0.53
    ombo
    -0.53
    ient
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    mitter
    -0.52
    POSITIVE LOGITS
     etc
    1.53
    etc
    1.33
     ect
    0.88
     et
    0.74
     ?)
    0.74
     Miscellaneous
    0.70
    prus
    0.66
    ...)
    0.64
     assorted
    0.64
    whatever
    0.63
    Activations Density 0.195%

    No Known Activations