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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. 7247
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    INDEX
    Explanations

    terminology related to heavy objects or industries

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "Heavy" and its associations within various contexts

    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
    ifice
    -0.81
     externalToEVAOnly
    -0.80
    nesota
    -0.78
    ipt
    -0.75
    PsyNetMessage
    -0.75
    itism
    -0.75
    eva
    -0.74
    Downloadha
    -0.73
    romeda
    -0.69
    ellen
    -0.69
    POSITIVE LOGITS
     Duty
    0.92
    weight
    0.90
     Heavy
    0.89
    storms
    0.82
    metal
    0.78
     Metal
    0.77
     Beam
    0.76
     smoker
    0.75
     Worker
    0.74
     Planes
    0.74
    Activations Density 0.017%

    No Known Activations