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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 839
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    Explanations

    mentions of actions performed or decisions made by someone other than the subject

    oai_token-act-pair · gpt-3.5-turbo

    references to accountability or actions taken by others

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olid
    -0.73
    undown
    -0.72
    tnc
    -0.72
    rar
    -0.71
    Accessory
    -0.67
    Increases
    -0.66
    veyard
    -0.60
    osterone
    -0.60
    taining
    -0.60
    irth
    -0.60
    POSITIVE LOGITS
     whom
    0.84
     who
    0.83
    worldly
    0.81
    's
    0.75
     chooses
    0.73
    ÃŃs
    0.73
     chose
    0.72
    zzi
    0.68
     fared
    0.68
     thinks
    0.67
    Activations Density 0.152%

    No Known Activations