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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. 3-RES-JB
    11. 7266
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    INDEX
    Explanations

    specific places and organizations mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to various "Centre" institutions or organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RESULTS
    -0.75
    agging
    -0.74
    earable
    -0.74
    ãģĦ
    -0.71
    é¾į
    -0.69
    catentry
    -0.64
    jl
    -0.63
    mx
    -0.63
    furt
    -0.62
    Pg
    -0.62
    POSITIVE LOGITS
    piece
    0.91
     Centre
    0.86
    ablishment
    0.82
    pieces
    0.82
    gomery
    0.82
    tenance
    0.76
    yrinth
    0.70
    eers
    0.68
     fielder
    0.67
     enrol
    0.66
    Activations Density 0.010%

    No Known Activations