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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 7826
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    Explanations

    proper nouns, specifically names of products, services, and companies

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "called" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     istg
    -0.86
    olate
    -0.78
    bilt
    -0.75
    midt
    -0.74
    EEE
    -0.73
    =-=-
    -0.72
    REF
    -0.71
    olitics
    -0.71
     guiName
    -0.70
    olitan
    -0.69
    POSITIVE LOGITS
    calling
    0.87
    call
    0.84
    called
    0.72
     attention
    0.71
     Ares
    0.71
     called
    0.68
     Call
    0.64
    igraph
    0.64
    sighted
    0.63
     namely
    0.62
    Activations Density 0.046%

    No Known Activations