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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. 9-RES-JB
    6. 21045
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    Explanations

    words related to ecological factors

    oai_token-act-pair · gpt-3.5-turbo

    terms related to ecological, cultural, and economic contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Klu
    -0.74
     Isle
    -0.74
     Cities
    -0.71
    ger
    -0.69
    ials
    -0.69
     Chiefs
    -0.67
     Via
    -0.66
     Cobra
    -0.65
     Cause
    -0.65
     Keeper
    -0.64
    POSITIVE LOGITS
     speaking
    1.02
     minded
    1.01
     indistinguishable
    0.95
     inclined
    0.93
    significant
    0.93
     challenged
    0.91
     unfit
    0.86
    responsible
    0.85
     insignificant
    0.85
    relevant
    0.83
    Activations Density 0.081%

    No Known Activations