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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. 1-RES-JB
    11. 22594
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    Explanations

    specific names of individuals or locations, including Enrique, MacArthur, and Brighton

    oai_token-act-pair · gpt-3.5-turbo

    proper names, particularly those of individuals and places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NRS
    -0.85
    weights
    -0.72
    rics
    -0.67
     recoil
    -0.65
     Gad
    -0.64
    ashington
    -0.63
    Roman
    -0.63
    ric
    -0.63
     @@
    -0.62
    weight
    -0.62
    POSITIVE LOGITS
     MacArthur
    1.01
    ilage
    0.82
    nown
    0.81
     Brighton
    0.77
    insula
    0.76
    yip
    0.75
    onge
    0.74
    essor
    0.72
    ipeg
    0.71
    anova
    0.71
    Activations Density 0.016%

    No Known Activations