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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. 11436
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    Explanations

    phrases related to products or designs being created or designed with specific features in mind

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "designed with" followed by various contexts

    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
    orah
    -0.73
    Angelo
    -0.72
    ³³³³³³³³
    -0.64
    SPONSORED
    -0.64
    bush
    -0.62
    bus
    -0.61
    bh
    -0.61
    obook
    -0.59
    handler
    -0.59
    insula
    -0.59
    POSITIVE LOGITS
     regard
    1.33
    stood
    1.19
     impunity
    1.16
     regards
    1.16
    drawn
    1.12
    draw
    1.09
     respect
    1.08
    holding
    0.94
    standing
    0.92
     utmost
    0.85
    Activations Density 0.167%

    No Known Activations