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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. 0-RES-JB
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    INDEX
    Explanations

    mentions or references to the name "Aquinato"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific name or entity associated with aquatic themes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     thrott
    -0.75
     scrim
    -0.71
    orters
    -0.71
    jit
    -0.69
    mail
    -0.68
     slice
    -0.67
    orter
    -0.67
    nels
    -0.65
    nea
    -0.65
    bda
    -0.65
    POSITIVE LOGITS
     Aqu
    4.02
     Aqua
    1.54
     aquarium
    1.31
    aqu
    1.31
     Amph
    1.24
     aqu
    1.22
     aquatic
    1.14
     Artemis
    1.10
     Atlantis
    1.09
     Cyborg
    1.07
    Activations Density 0.014%

    No Known Activations