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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. 6-RES-JB
    11. 17557
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    Explanations

    activities or actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases or mentions of various types of activities

    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
    ño
    -0.68
    inately
    -0.68
    Enough
    -0.67
     cracked
    -0.62
    usra
    -0.61
     Breaker
    -0.61
    hyd
    -0.59
    definition
    -0.59
    ANCE
    -0.59
     Lancaster
    -0.58
    POSITIVE LOGITS
    cape
    0.97
    hops
    0.93
     activities
    0.93
    uits
    0.87
    pring
    0.85
    hooting
    0.82
    perty
    0.81
    paces
    0.81
    afe
    0.79
    folk
    0.78
    Activations Density 0.123%

    No Known Activations