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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. 6-RES-JB
    11. 3662
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    INDEX
    Explanations

    adjectives that describe the magnitude, simplicity, or impact of a situation

    oai_token-act-pair · gpt-3.5-turbo

    statements emphasizing simplicity and clarity in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flavoring
    -0.84
    mosp
    -0.79
    ortment
    -0.75
    tein
    -0.72
    ools
    -0.70
    agine
    -0.69
    guyen
    -0.64
    ochond
    -0.63
     bow
    -0.63
    rador
    -0.60
    POSITIVE LOGITS
     enough
    0.87
    isSpecialOrderable
    0.71
    aneously
    0.71
    stated
    0.71
     exagger
    0.69
     hinges
    0.67
    etheless
    0.66
    isable
    0.65
     surpr
    0.65
    lier
    0.64
    Activations Density 0.277%

    No Known Activations