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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. 3-RES-JB
    11. 237
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    Explanations

    phrases related to a series or sequence of items

    oai_token-act-pair · gpt-3.5-turbo

    repeated occurrences of the word "string"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tical
    -0.91
    mares
    -0.82
    hammad
    -0.76
    icago
    -0.75
    espie
    -0.75
    undai
    -0.74
    addons
    -0.73
    oyer
    -0.72
    mare
    -0.71
    ause
    -0.70
    POSITIVE LOGITS
    ãĤ©
    0.94
     bikini
    0.91
    ãĤ¡
    0.89
     string
    0.76
    ãĥĥãĥī
    0.76
    ently
    0.73
    asso
    0.70
    ãĥĺ
    0.70
     strings
    0.69
    ties
    0.67
    Activations Density 0.007%

    No Known Activations