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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. 7-RES-JB
    11. 18833
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    Explanations

    phrases relating to swiftly moving or manipulating something

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to the action of whipping or turning something around

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ADRA
    -0.85
    thia
    -0.82
    DEN
    -0.79
    IFIED
    -0.75
    ities
    -0.72
    aeda
    -0.71
     conflic
    -0.71
    ately
    -0.71
    alg
    -0.70
    ators
    -0.69
    POSITIVE LOGITS
     whip
    1.00
     whipping
    0.91
    otine
    0.86
    toe
    0.79
    ings
    0.78
    ework
    0.78
     cream
    0.77
    manship
    0.77
    sticks
    0.77
     whipped
    0.76
    Activations Density 0.030%

    No Known Activations