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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 15169
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    Explanations

    terms related to operational activities or structures

    oai_token-act-pair · gpt-3.5-turbo

    terms related to operational status and functions

    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
    Pac
    -0.75
    hner
    -0.74
    eve
    -0.71
    kick
    -0.71
    astern
    -0.69
     Pupp
    -0.69
    xx
    -0.69
     Fey
    -0.68
    gets
    -0.68
     Neighbor
    -0.67
    POSITIVE LOGITS
     operational
    1.22
     Oper
    0.93
    izational
    0.88
    espie
    0.85
     operation
    0.84
     personnel
    0.83
    ilitary
    0.82
    ational
    0.81
     capability
    0.80
     operative
    0.78
    Activations Density 0.007%

    No Known Activations