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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. 9-RES-JB
    11. 4998
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    Explanations

    mentions of weddings

    oai_token-act-pair · gpt-3.5-turbo

    references to weddings and related events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ihil
    -0.73
    Cola
    -0.71
    ostic
    -0.70
    ridges
    -0.70
    umar
    -0.69
    zee
    -0.69
    generated
    -0.69
    abilities
    -0.68
    krit
    -0.68
    ischer
    -0.67
    POSITIVE LOGITS
     ceremony
    1.15
     reception
    1.13
     chapel
    1.10
    nesday
    1.08
     gown
    1.06
     ceremonies
    1.03
     procession
    1.00
     receptions
    0.94
     invitation
    0.94
     feast
    0.92
    Activations Density 0.050%

    No Known Activations