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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. 0-RES-JB
    11. 2796
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    INDEX
    Explanations

    mentions of coffee-related terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of coffee and its pricing trends

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    minus
    -0.72
     Horus
    -0.67
    %%%%
    -0.66
     torrent
    -0.64
     Pandora
    -0.64
    ++++
    -0.63
     abduction
    -0.63
     ont
    -0.63
     shred
    -0.63
     Hulk
    -0.63
    POSITIVE LOGITS
     Coffee
    2.92
     Bristol
    1.75
     Coff
    1.47
     Cumm
    1.25
    resso
    1.13
     Fiji
    1.06
     Fernandez
    0.93
     Cherry
    0.92
     coff
    0.91
     espresso
    0.89
    Activations Density 0.045%

    No Known Activations