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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. 11-RES-JB
    11. 1169
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    monetary values, specifically amounts of money or pricing structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĶĢâĶĢâĶĢâĶĢ
    -1.05
    ulhu
    -0.75
    ãĥĺ
    -0.75
    conom
    -0.73
    iquette
    -0.71
    leans
    -0.71
    ikhail
    -0.71
    ador
    -0.70
    à¨
    -0.70
    ileaks
    -0.68
    POSITIVE LOGITS
     LR
    1.76
     JC
    1.73
     SR
    1.73
     CC
    1.65
     CS
    1.65
     TC
    1.64
     RB
    1.64
     RL
    1.62
     PF
    1.62
     HC
    1.62
    Activations Density 0.596%

    No Known Activations