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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. 3-RES-JB
    11. 6359
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    Explanations

    words related to pavilions or locations that can house events or activities

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals, particularly those with the name "Pavlov" or variations thereof

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Protestant
    -0.71
    ãĥīãĥ©
    -0.69
    anguages
    -0.68
     typed
    -0.67
     Lutheran
    -0.63
     Cannabis
    -0.63
    lessness
    -0.62
     scouting
    -0.62
    hirt
    -0.61
    DOS
    -0.61
    POSITIVE LOGITS
    lov
    1.35
    ilon
    1.06
    asus
    1.03
     Pav
    1.00
    lyak
    0.97
    illion
    0.96
    anian
    0.95
    ilion
    0.93
    emonium
    0.92
    ajo
    0.92
    Activations Density 0.020%

    No Known Activations