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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. 4-RES-JB
    11. 14246
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    words related to signals and communication

    oai_token-act-pair · gpt-3.5-turbo

    terms related to signals or signaling

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

    No Comments

    Negative Logits
    sm
    -0.73
    hur
    -0.73
    endor
    -0.71
    amily
    -0.70
    ucket
    -0.70
    eenth
    -0.68
    than
    -0.68
    eatured
    -0.67
    frey
    -0.66
    ski
    -0.66
    POSITIVE LOGITS
     signals
    1.07
     signal
    0.94
     signaling
    0.91
     signalling
    0.88
     flares
    0.82
     handlers
    0.82
     signs
    0.82
     Signal
    0.81
     signatures
    0.76
     Signs
    0.74
    Activations Density 0.014%

    No Known Activations