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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. 5369
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    Explanations

    questions related to quantity or the number of items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    quantitative references like counting or numbers of items

    oai_token-act-pair · gpt-3.5-turbo
    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
    yrinth
    -0.87
    acus
    -0.79
    ¶æ
    -0.79
    reatment
    -0.79
    hern
    -0.78
    allery
    -0.78
    andise
    -0.77
    vertisement
    -0.74
    bringing
    -0.73
    undle
    -0.71
    POSITIVE LOGITS
     times
    1.39
     calories
    1.02
     iterations
    0.99
     servings
    0.97
     hours
    0.96
     acres
    0.94
     people
    0.94
     copies
    0.92
     days
    0.92
     gallons
    0.91
    Activations Density 0.023%

    No Known Activations