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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. 4-RES-JB
    11. 12198
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    Explanations

    references to rainbows

    oai_token-act-pair · gpt-3.5-turbo

    references to rainbows

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

    No Comments

    Negative Logits
    urers
    -0.87
    hran
    -0.84
    Interstitial
    -0.82
    arnaev
    -0.81
    Dur
    -0.79
    opathy
    -0.79
    udo
    -0.78
    uchin
    -0.72
    ulhu
    -0.71
    ures
    -0.70
    POSITIVE LOGITS
     trout
    1.16
    bow
    1.01
     Rainbow
    0.88
     rainbow
    0.86
     Dash
    0.83
    forest
    0.80
    leaf
    0.77
    Berry
    0.75
    seed
    0.74
    bows
    0.73
    Activations Density 0.006%

    No Known Activations