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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. 6-RES-JB
    11. 24360
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    Explanations

    special characters and numbers that are repeated

    oai_token-act-pair · gpt-3.5-turbo

    numerical values or references to years, potentially indicating statistics or records

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.68
    ħĭ
    -0.67
     Coffin
    -0.65
     vortex
    -0.63
    monton
    -0.63
     Persona
    -0.62
     Shell
    -0.62
     paran
    -0.61
     Unsure
    -0.61
     Doll
    -0.61
    POSITIVE LOGITS
    cause
    0.95
    then
    0.83
    ³³³³³³³³³³³³³³³³
    0.83
    while
    0.75
    shall
    0.75
    onne
    0.75
    today
    0.74
    having
    0.73
    voy
    0.73
    among
    0.73
    Activations Density 0.082%

    No Known Activations