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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. 8-RES-JB
    11. 11768
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    Explanations

    actions related to movement or physical interactions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of strong emotional or physical actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    avis
    -0.59
    avier
    -0.59
    ENE
    -0.59
    canon
    -0.58
    obook
    -0.57
    mie
    -0.56
    Berry
    -0.56
    onso
    -0.56
    anto
    -0.55
     presidency
    -0.54
    POSITIVE LOGITS
     endlessly
    0.92
     endless
    0.83
     piles
    0.82
     hordes
    0.80
     passers
    0.78
     incess
    0.77
     throats
    0.77
     mouths
    0.76
     frantically
    0.76
     incomprehensible
    0.73
    Activations Density 1.020%

    No Known Activations