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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. 24290
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    Explanations

    references to physical objects or activities related to outdoor adventures

    oai_token-act-pair · gpt-3.5-turbo

    references to groups or quantities expressed as "rafts."

    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
    avez
    -0.80
    hibition
    -0.76
    places
    -0.73
    âĸ¬âĸ¬
    -0.71
    tein
    -0.70
    Residents
    -0.68
    uate
    -0.66
    ces
    -0.66
    pecting
    -0.64
    vest
    -0.63
    POSITIVE LOGITS
     raft
    1.06
    andowski
    0.85
    ieri
    0.84
    oons
    0.76
    ing
    0.75
    atform
    0.73
    smanship
    0.73
    ishly
    0.72
    estone
    0.72
    aroo
    0.72
    Activations Density 0.011%

    No Known Activations