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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. 13289
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    Explanations

    words related to sending, transmitting, and receiving data

    oai_token-act-pair · gpt-3.5-turbo

    terms related to data transmission processes

    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
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    Negative Logits
    atti
    -0.80
    arist
    -0.79
    redo
    -0.79
    thur
    -0.78
    ongevity
    -0.72
    ean
    -0.72
    isse
    -0.71
    anan
    -0.71
    ovember
    -0.70
    aned
    -0.69
    POSITIVE LOGITS
     transmitting
    0.86
     transmitter
    0.86
     transmit
    0.82
    ezvous
    0.81
     modem
    0.81
     Emin
    0.81
     Detect
    0.80
     transmissions
    0.78
    ducers
    0.78
    caster
    0.77
    Activations Density 0.060%

    No Known Activations