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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. 6-RES-JB
    11. 3733
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    Explanations

    words introducing a series of related items

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "These" at varying repeat levels

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zzle
    -0.74
    ë
    -0.73
    iness
    -0.72
    hood
    -0.72
    opus
    -0.66
    formance
    -0.63
    nery
    -0.61
    nah
    -0.61
    leen
    -0.61
    cking
    -0.61
    POSITIVE LOGITS
     kinds
    0.92
     sorts
    0.85
     fellows
    0.81
     findings
    0.81
     facts
    0.80
     truths
    0.80
     results
    0.77
     types
    0.76
     latter
    0.75
     factors
    0.74
    Activations Density 0.072%

    No Known Activations