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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. 23368
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    Explanations

    terms related to pixels and precision

    oai_token-act-pair · gpt-3.5-turbo

    references to pixels in design and technology 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
    OME
    -0.79
    ornia
    -0.76
    urst
    -0.71
    unes
    -0.71
    sers
    -0.69
    UNE
    -0.68
    kson
    -0.67
    eger
    -0.67
    quarters
    -0.66
    ught
    -0.66
    POSITIVE LOGITS
    ated
    0.83
     shader
    0.78
    ounce
    0.76
    ters
    0.74
    ation
    0.70
    ixels
    0.70
    rant
    0.70
    agraph
    0.69
    aneous
    0.68
    ados
    0.67
    Activations Density 0.080%

    No Known Activations