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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. 9-RES-JB
    11. 3384
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    INDEX
    Explanations

    dates of release for various media productions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "in" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ibur
    -0.86
    zsche
    -0.82
    tre
    -0.71
    staking
    -0.69
    uyomi
    -0.68
    iosyncr
    -0.67
    0000000000000000
    -0.64
    MpServer
    -0.64
     summed
    -0.64
    conservancy
    -0.63
    POSITIVE LOGITS
     conjunction
    1.21
     theaters
    1.19
     Japan
    1.01
     lieu
    0.98
     accordance
    0.97
     paperback
    0.95
     France
    0.92
     English
    0.91
     Europe
    0.91
     Italy
    0.91
    Activations Density 0.224%

    No Known Activations