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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. 13772
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    Explanations

    action verbs related to change or activity related to events or situations

    oai_token-act-pair · gpt-3.5-turbo

    the conjunction "and" in various contexts

    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
    conduct
    -0.82
    raid
    -0.82
     Own
    -0.81
    ivot
    -0.78
    lean
    -0.77
    know
    -0.76
    uh
    -0.76
    utch
    -0.76
    rared
    -0.75
    iltr
    -0.73
    POSITIVE LOGITS
     there
    0.99
     nobody
    0.99
     everyone
    0.95
     everybody
    0.88
     prices
    0.87
     consequently
    0.83
     replaced
    0.81
     therefore
    0.80
     we
    0.79
     hence
    0.78
    Activations Density 0.327%

    No Known Activations