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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 3986
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    Explanations

    references to dogs and related concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to dogs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    éĹĺ
    -0.87
    artz
    -0.79
    esson
    -0.79
    DERR
    -0.75
     Edison
    -0.75
    oulos
    -0.74
    erences
    -0.74
    farious
    -0.73
    ORN
    -0.73
    itures
    -0.72
    POSITIVE LOGITS
     barking
    1.03
    patch
    1.03
    fighting
    0.98
    fight
    0.97
    meat
    0.97
    fights
    0.94
    matically
    0.94
    fighter
    0.94
    matic
    0.93
    gie
    0.92
    Activations Density 0.036%

    No Known Activations