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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
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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 @ 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
    Not in Any Lists

    No Comments

    Negative Logits
     understatement
    -0.77
    %]
    -0.65
    omore
    -0.64
    Politics
    -0.63
    sburg
    -0.61
    holiday
    -0.59
     Franch
    -0.59
    Ire
    -0.59
    ppa
    -0.58
    iversary
    -0.57
    POSITIVE LOGITS
     transmitting
    0.72
     periodically
    0.69
     programmed
    0.66
     simulated
    0.66
     autonom
    0.64
     transforms
    0.63
     manipulating
    0.61
     predetermined
    0.61
     interacting
    0.61
     electromagnetic
    0.60
    Activations Density 1.272%

    No Known Activations