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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. 12-RES-JB
    11. 3095
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    Explanations

    the word "each" followed by a numerical value, indicating emphasis on individual or separate components

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    phrases indicating the concept of individual units or repeated items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    models
    -0.80
    zos
    -0.79
    olas
    -0.77
    renheit
    -0.76
    adows
    -0.75
    ools
    -0.75
    downs
    -0.72
    ovies
    -0.71
    bys
    -0.71
    bows
    -0.70
    POSITIVE LOGITS
     successive
    1.27
     participant
    1.04
     of
    1.02
     iteration
    0.99
     individual
    0.98
     respective
    0.97
     succeeding
    0.93
     member
    0.93
     installment
    0.86
     category
    0.82
    Activations Density 0.052%

    No Known Activations