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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. 682
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    INDEX
    Explanations

    numerical information such as ages, measurements, and vote counts

    oai_token-act-pair · gpt-3.5-turbo

    instances of severe incidents or events

    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
     Palest
    -0.54
     sickness
    -0.52
     Ruin
    -0.51
     tyr
    -0.50
     Niet
    -0.50
     weeds
    -0.49
     dogma
    -0.48
     cripp
    -0.47
     Stupid
    -0.47
     ignor
    -0.46
    POSITIVE LOGITS
    .''.
    0.63
    etheless
    0.58
    å°Ĩ
    0.55
    fecture
    0.55
    lishing
    0.54
    reau
    0.53
    dayName
    0.53
    phrine
    0.53
    DragonMagazine
    0.53
    ÂŃ
    0.52
    Activations Density 0.911%

    No Known Activations