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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. 9-RES-JB
    11. 1564
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    Explanations

    phrases related to turning a situation or object to a different state or direction

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating change or transformation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    accompan
    -0.84
    enegger
    -0.73
    cffff
    -0.65
    behind
    -0.63
     Annotations
    -0.58
     accompanies
    -0.58
    ornia
    -0.57
     embodies
    -0.56
    interstitial
    -0.56
    llah
    -0.56
    POSITIVE LOGITS
     tide
    1.13
     knob
    0.88
     tides
    0.82
     Tables
    0.82
     Tide
    0.80
     blind
    0.79
     tables
    0.78
     corner
    0.75
     heads
    0.70
     noses
    0.69
    Activations Density 0.081%

    No Known Activations