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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. 6-RES-JB
    11. 628
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    Explanations

    numerical values or measurements

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and references to measurements or quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    escription
    -0.61
    ĸļ
    -0.60
     Canary
    -0.56
     Woodward
    -0.54
    ificial
    -0.54
     Kimmel
    -0.54
    natureconservancy
    -0.54
     tun
    -0.53
     lax
    -0.53
     akin
    -0.52
    POSITIVE LOGITS
    undred
    0.95
    secut
    0.79
    GBT
    0.76
    arat
    0.75
    ousand
    0.74
    ãĥ¼ãĥ³
    0.72
    renheit
    0.72
    gged
    0.71
    venth
    0.71
    akh
    0.69
    Activations Density 0.282%

    No Known Activations