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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
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    Explanations

    references to the term "Wild" with various contexts, such as names, locations, or organizations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Wild" in various contexts

    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
    uyomi
    -0.88
    akeru
    -0.81
    alach
    -0.77
    uters
    -0.77
    acists
    -0.77
    adian
    -0.76
    uated
    -0.71
    代
    -0.71
    rators
    -0.70
    ayers
    -0.69
    POSITIVE LOGITS
    erness
    1.01
    lings
    0.95
    fire
    0.93
    tro
    0.93
    flower
    0.91
    fires
    0.88
     Wild
    0.87
     Horses
    0.84
    rose
    0.82
     Wings
    0.81
    Activations Density 0.005%

    No Known Activations