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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
    11. 5546
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    INDEX
    Explanations

    words related to prehistoric periods and famous movie titles

    oai_token-act-pair · gpt-3.5-turbo

    references to specific movies and film-related terms

    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
    hips
    -0.84
    redo
    -0.82
    sheet
    -0.81
    zzle
    -0.81
    lying
    -0.75
    resso
    -0.73
    ternity
    -0.73
    ele
    -0.73
    etting
    -0.72
    iants
    -0.71
    POSITIVE LOGITS
     Jurassic
    1.22
    assic
    1.08
    osaurs
    1.00
     Park
    0.90
    aceous
    0.89
    osaurus
    0.77
    uman
    0.72
     Dam
    0.71
     Warfare
    0.69
    adelphia
    0.68
    Activations Density 0.017%

    No Known Activations