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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. 7-RES-JB
    11. 11795
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to electrical concepts and engineering

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    naire
    -1.12
    itia
    -0.85
     Haku
    -0.81
    vier
    -0.80
    lain
    -0.79
    nered
    -0.78
    zl
    -0.76
    lund
    -0.75
    xus
    -0.75
    naires
    -0.74
    POSITIVE LOGITS
     circuits
    1.06
     circuitry
    1.02
     wiring
    0.97
     engineering
    0.97
     grids
    0.95
     impedance
    0.95
     stimulation
    0.94
     engineer
    0.93
     pulses
    0.93
     engineers
    0.91
    Activations Density 0.025%

    No Known Activations