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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. 8-RES-JB
    11. 15137
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    Explanations

    information related to weapons or tools, particularly focusing on specific details like ammunition and functionality

    oai_token-act-pair · gpt-3.5-turbo

    references to firearms and ammunition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bernatorial
    -0.73
    sectional
    -0.62
    icipated
    -0.62
    population
    -0.62
     Nationwide
    -0.60
    iversary
    -0.59
    umbai
    -0.59
     Nationals
    -0.58
    Population
    -0.58
    "]=>
    -0.58
    POSITIVE LOGITS
     runes
    0.79
     diction
    0.69
     accents
    0.65
     pigment
    0.64
    ãĤ´ãĥ³
    0.62
     dye
    0.61
     spray
    0.60
     sprink
    0.60
     initials
    0.59
     substit
    0.59
    Activations Density 1.440%

    No Known Activations