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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. 16208
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    Explanations

    references to horses

    oai_token-act-pair · gpt-3.5-turbo

    references to horses

    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
    iaries
    -1.14
    iary
    -0.81
     newsp
    -0.80
    esters
    -0.76
    uries
    -0.72
    iance
    -0.72
     Nanto
    -0.72
    âĶģ
    -0.71
    ukong
    -0.71
    estation
    -0.71
    POSITIVE LOGITS
     Horse
    1.16
     horses
    1.15
    horse
    1.14
     Horses
    1.10
     horse
    1.07
    meat
    1.00
    poke
    0.96
    fish
    0.94
    manship
    0.93
    toe
    0.88
    Activations Density 0.012%

    No Known Activations