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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. 8-RES-JB
    11. 24254
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    Explanations

    phrases related to creation or causing something to happen

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to creation or the act of making something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enance
    -0.95
     aloud
    -0.73
    gnu
    -0.73
    seek
    -0.71
    umin
    -0.71
    hani
    -0.70
    awaru
    -0.68
    ighed
    -0.67
    govtrack
    -0.64
     onwards
    -0.64
    POSITIVE LOGITS
     impression
    0.82
    environment
    0.81
     havoc
    0.80
     persona
    0.79
     rift
    0.79
     Frankenstein
    0.77
     environment
    0.76
     Hole
    0.76
     atmosphere
    0.74
     believable
    0.72
    Activations Density 0.178%

    No Known Activations