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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. 1-RES-JB
    11. 5573
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    Explanations

    instances of the word "mater" or "equip"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to materials and their production or use

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SAY
    -0.69
    PER
    -0.66
    chrome
    -0.65
    ï¸
    -0.65
    hire
    -0.62
    GET
    -0.62
     pyramid
    -0.61
    Robin
    -0.60
    ucer
    -0.59
    externalActionCode
    -0.59
    POSITIVE LOGITS
     mater
    0.95
    iques
    0.85
    iel
    0.85
     Equip
    0.85
    isl
    0.83
    ACP
    0.82
    aine
    0.81
    iky
    0.79
    athing
    0.78
    anyahu
    0.77
    Activations Density 0.017%

    No Known Activations