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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
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    Explanations

    references to various animals

    oai_token-act-pair · gpt-3.5-turbo

    references to animals, particularly bears and dogs

    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
    icably
    -0.87
    icable
    -0.84
    acists
    -0.72
    oppable
    -0.71
    stretched
    -0.71
    orship
    -0.70
     diluted
    -0.67
     cyn
    -0.67
    earch
    -0.67
    acist
    -0.66
    POSITIVE LOGITS
     Soup
    1.08
     Island
    1.04
     Creek
    0.98
    stein
    0.97
     Tracks
    0.96
     Tree
    0.93
    meat
    0.92
     Claw
    0.92
    Dog
    0.92
    Girl
    0.92
    Activations Density 0.141%

    No Known Activations