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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. 10-RES-JB
    11. 5112
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    references to the sun

    oai_token-act-pair · gpt-3.5-turbo

    references to the sun

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hodg
    -0.75
     Mellon
    -0.74
    ufact
    -0.73
     Halls
    -0.71
     Armory
    -0.67
     ABE
    -0.67
     McKenna
    -0.66
     captcha
    -0.64
    VK
    -0.62
    arge
    -0.62
    POSITIVE LOGITS
    flower
    1.43
    rises
    1.32
    shine
    1.30
    nah
    1.25
    spot
    1.24
    beam
    1.23
    burn
    1.21
    sets
    1.21
    burst
    1.20
    lit
    1.19
    Activations Density 0.026%

    No Known Activations