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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. 1932
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    Explanations

    words ending in "let"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "let"

    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
     cumbers
    -0.82
     holiest
    -0.75
     tremend
    -0.74
    PLIED
    -0.73
     millenn
    -0.72
    manship
    -0.69
    emetery
    -0.68
    VERTISEMENT
    -0.68
    foreseen
    -0.68
     resil
    -0.67
    POSITIVE LOGITS
    ting
    1.06
    tered
    1.06
    cheon
    0.93
    arget
    0.92
    itia
    0.89
    ters
    0.87
    tering
    0.86
    rons
    0.84
    icia
    0.84
    rack
    0.83
    Activations Density 0.013%

    No Known Activations