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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. 7-RES-JB
    11. 7412
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    Explanations

    adjective-noun pairings emphasizing the characteristics of an item

    oai_token-act-pair · gpt-3.5-turbo

    adjectives and descriptors indicating the intensity or severity of qualities and situations

    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
    nikov
    -0.83
    illery
    -0.73
    iller
    -0.73
    illation
    -0.70
    zeb
    -0.65
    edy
    -0.65
     href
    -0.63
    ibrary
    -0.63
    elf
    -0.63
    insula
    -0.63
    POSITIVE LOGITS
     they
    0.79
     awaits
    0.72
     awaited
    0.72
     pans
    0.67
     we
    0.65
     he
    0.63
     seeded
    0.62
     she
    0.61
     screwed
    0.61
     Ange
    0.58
    Activations Density 0.074%

    No Known Activations