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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. 18010
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    INDEX
    Explanations

    mentions of things being positive or beneficial

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express positive evaluations or qualities

    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
    Not in Any Lists

    No Comments

    Negative Logits
     dial
    -0.67
    âĹ¼
    -0.65
    assic
    -0.63
     Dru
    -0.63
     strapped
    -0.61
     smuggled
    -0.60
    RAW
    -0.60
     meticulously
    -0.58
     radical
    -0.58
    Downloadha
    -0.58
    POSITIVE LOGITS
    bye
    1.19
    enough
    1.14
    good
    1.12
    sword
    0.99
    nesses
    0.90
    washer
    0.89
    ness
    0.89
    reads
    0.89
    shield
    0.86
     bye
    0.86
    Activations Density 0.008%

    No Known Activations