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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. 0-RES-JB
    11. 20328
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    Explanations

    references to events or activities taking place in a workshop setting

    oai_token-act-pair · gpt-3.5-turbo

    references to workshops and similar educational events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    apo
    -0.68
     divor
    -0.66
    stri
    -0.63
     forgiven
    -0.63
    anes
    -0.62
    ones
    -0.59
    Pac
    -0.58
    advertising
    -0.58
    oof
    -0.58
    Americans
    -0.58
    POSITIVE LOGITS
     workshop
    3.73
     Workshop
    2.76
     workshops
    2.74
    workshop
    2.16
     seminar
    1.63
    hops
    1.42
     seminars
    1.26
     forge
    1.24
     workspace
    1.17
     salon
    1.15
    Activations Density 0.015%

    No Known Activations