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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. 13885
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    Explanations

    mentions related to analog technology

    oai_token-act-pair · gpt-3.5-turbo

    references to analog technology and its applications

    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
    apers
    -0.82
    hov
    -0.73
    words
    -0.70
    perse
    -0.68
    adows
    -0.68
    IELD
    -0.67
    aper
    -0.65
    kers
    -0.65
    awar
    -0.64
    vous
    -0.64
    POSITIVE LOGITS
    ues
    1.04
    ical
    0.89
    ophone
    0.85
    ies
    0.82
    ously
    0.81
     Devices
    0.78
    sembly
    0.77
     analog
    0.77
    imity
    0.76
     analogue
    0.73
    Activations Density 0.018%

    No Known Activations