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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. 4-RES-JB
    11. 193
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    Explanations

    phrases related to important and essential items or concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to essential or crucial elements

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

    No Comments

    Negative Logits
    renheit
    -0.85
     Carbuncle
    -0.73
    essee
    -0.72
    amm
    -0.71
    cheat
    -0.69
    bows
    -0.68
    ilk
    -0.68
    AUT
    -0.67
    TeX
    -0.67
    annis
    -0.67
    POSITIVE LOGITS
     organs
    0.93
     importance
    0.90
    arial
    0.85
     vital
    0.84
     components
    0.81
    ising
    0.80
    stones
    0.78
    ised
    0.77
     distinction
    0.75
     ingred
    0.75
    Activations Density 0.019%

    No Known Activations