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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. 7149
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    oai_token-act-pair · gpt-3.5-turbo

    words related to processes and procurement activities

    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
    holders
    -0.84
    Reviewer
    -0.78
    DonaldTrump
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    gow
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     Falk
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    itsch
    -0.69
     learners
    -0.67
    Charge
    -0.66
     Halls
    -0.64
    BRE
    -0.63
    POSITIVE LOGITS
    rast
    1.64
    urable
    1.07
    ruit
    1.06
    icum
    0.98
     proc
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    urrent
    0.95
    urers
    0.95
    ured
    0.94
    ificial
    0.91
    stant
    0.88
    Activations Density 0.025%

    No Known Activations