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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
    11. 20359
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    Explanations

    the word "behaving"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or brands

    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
     Wend
    -0.71
     Velvet
    -0.67
     Mug
    -0.67
     Pist
    -0.66
     Nile
    -0.66
     Positive
    -0.65
    Pin
    -0.65
     Sus
    -0.64
     Werewolf
    -0.64
     Pin
    -0.63
    POSITIVE LOGITS
    adr
    4.92
    alon
    1.53
    agher
    1.09
    ameron
    1.03
    arro
    1.03
    ubes
    1.02
    onne
    0.98
    alsa
    0.97
    sbm
    0.96
    apolis
    0.93
    Activations Density 0.046%

    No Known Activations