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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. 1-RES-JB
    11. 6784
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    Explanations

    phrases related to academic or research centers

    oai_token-act-pair · gpt-3.5-turbo

    references to various centers or institutions

    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
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    No Comments

    Negative Logits
    mx
    -0.76
     perilous
    -0.68
     treacherous
    -0.65
    RESULTS
    -0.65
    arser
    -0.64
    AAAA
    -0.63
    iddler
    -0.63
     Schne
    -0.62
    ods
    -0.62
     turbulent
    -0.62
    POSITIVE LOGITS
     Centre
    0.95
    pieces
    0.83
    gomery
    0.80
    piece
    0.71
     fielder
    0.71
    ablishment
    0.69
    eous
    0.68
    tenance
    0.68
    eers
    0.66
     pamph
    0.65
    Activations Density 0.005%

    No Known Activations