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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. 0-RES-JB
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    Explanations

    mentions of the word "Har" followed by an intense emotion or action

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Har" and variations of it

    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
    UE
    -0.73
     opt
    -0.69
    mx
    -0.69
    ypes
    -0.67
    elin
    -0.66
    LD
    -0.66
    oxin
    -0.66
    cms
    -0.66
    nz
    -0.64
    POS
    -0.63
    POSITIVE LOGITS
     Har
    3.65
    Har
    2.50
     HAR
    1.95
     har
    1.77
    har
    1.73
     Hare
    1.48
     Harrington
    1.34
     Haz
    1.28
     Harley
    1.24
     Hay
    1.24
    Activations Density 0.021%

    No Known Activations