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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. 22178
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    INDEX
    Explanations

    mentions of inherent characteristics or qualities

    oai_token-act-pair · gpt-3.5-turbo

    terms that denote essential qualities or characteristics inherent to various subjects

    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
    kers
    -0.87
    rooms
    -0.73
    uku
    -0.71
    king
    -0.69
    ucc
    -0.68
    chens
    -0.67
    paces
    -0.66
     Paula
    -0.66
    sol
    -0.66
    cow
    -0.66
    POSITIVE LOGITS
     inherent
    1.04
     cumbers
    0.89
     merits
    0.80
     intrinsic
    0.80
     impedance
    0.79
     unpredict
    0.75
     guiActiveUn
    0.74
     complexity
    0.72
     dangers
    0.72
     merit
    0.72
    Activations Density 0.008%

    No Known Activations