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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
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    Explanations

    references to wedding events

    oai_token-act-pair · gpt-3.5-turbo

    frequent mentions of 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 @ 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
    Downloadha
    -0.73
    ostics
    -0.72
    vernment
    -0.71
    avez
    -0.71
    ostic
    -0.70
    mental
    -0.66
    Cola
    -0.66
    itol
    -0.66
    omsky
    -0.65
    umar
    -0.65
    POSITIVE LOGITS
    nesday
    1.16
    bands
    0.85
     chapel
    0.85
     receptions
    0.84
     Wedding
    0.81
     wedding
    0.80
     ceremony
    0.79
     gown
    0.78
     reception
    0.78
    maid
    0.77
    Activations Density 0.016%

    No Known Activations