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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. 3-RES-JB
    11. 5198
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    INDEX
    Explanations

    mentions of the word "Horse" with a significant activation level

    oai_token-act-pair · gpt-3.5-turbo

    references to horses and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iaries
    -0.96
    leeve
    -0.78
    perture
    -0.76
    unda
    -0.74
    lections
    -0.72
    ude
    -0.72
    soc
    -0.71
    ourning
    -0.70
    essions
    -0.70
    icating
    -0.69
    POSITIVE LOGITS
     Horse
    1.11
    meat
    1.07
    horse
    0.98
     Horses
    0.91
    wash
    0.90
    manship
    0.87
    fish
    0.87
    hide
    0.85
    man
    0.83
    bone
    0.83
    Activations Density 0.007%

    No Known Activations