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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
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    Explanations

    words related to thriller movies

    oai_token-act-pair · gpt-3.5-turbo

    various forms of the word "thriller" and its characteristics

    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
    yip
    -0.76
    gemony
    -0.74
    une
    -0.73
    anton
    -0.71
    beard
    -0.70
    liction
    -0.68
    hement
    -0.68
    yg
    -0.66
    licted
    -0.66
    ovich
    -0.66
    POSITIVE LOGITS
     thriller
    1.19
     thrill
    0.87
     suspense
    0.79
     novelist
    0.78
     novels
    0.77
     novel
    0.72
    arnaev
    0.72
    OWER
    0.71
    ILLE
    0.69
     Romance
    0.68
    Activations Density 0.020%

    No Known Activations