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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. 12852
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    Explanations

    verbs related to physical actions or movements

    oai_token-act-pair · gpt-3.5-turbo

    actions that imply movement or activity

    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
     Âł Âł Âł Âł
    -0.73
     Universal
    -0.67
     anten
    -0.66
    ĨĴ
    -0.65
     Ov
    -0.62
     Independence
    -0.62
    ization
    -0.61
     Âł Âł Âł Âł Âł Âł Âł Âł
    -0.61
     Imam
    -0.60
     artif
    -0.59
    POSITIVE LOGITS
    ling
    2.14
    led
    2.09
    les
    2.08
    lers
    2.02
    ler
    1.78
    ernaut
    1.55
    lement
    1.53
    lings
    1.53
    lements
    1.44
    le
    1.43
    Activations Density 0.081%

    No Known Activations