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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. 2-RES-JB
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    Explanations

    references to the concept of "thorns."

    oai_token-act-pair · gpt-3.5-turbo

    references to thorns or similar imagery

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    travel
    -0.75
    pocket
    -0.74
    trak
    -0.71
    dule
    -0.70
    cedented
    -0.70
    volume
    -0.68
    ulative
    -0.67
    HR
    -0.66
    abase
    -0.64
    erate
    -0.64
    POSITIVE LOGITS
    orns
    1.28
    mith
    0.95
    poons
    0.85
    terday
    0.80
     Tradable
    0.77
    edIn
    0.76
     Trees
    0.75
    adoes
    0.75
    hip
    0.74
     Dame
    0.74
    Activations Density 0.003%

    No Known Activations