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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 1800
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    Explanations

    proper nouns related to personalities or individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and titles related to individuals or entities

    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
    oyd
    -0.81
     Inventory
    -0.76
    ulla
    -0.75
    Phill
    -0.75
    ector
    -0.72
    otics
    -0.71
     calcul
    -0.71
    ugi
    -0.70
    igham
    -0.69
     Burnett
    -0.67
    POSITIVE LOGITS
     Franken
    2.75
     Gian
    2.00
     runtime
    1.33
     Runtime
    1.14
    runtime
    1.13
     Cosby
    1.07
    rape
    0.97
    Runtime
    0.91
     Refresh
    0.79
     Weinstein
    0.79
    Activations Density 0.041%

    No Known Activations