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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. 8-RES-JB
    11. 12540
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    INDEX
    Explanations

    phrases emphasizing extremes or significance

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating extreme or contrasting qualities among subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ————
    -0.82
    along
    -0.78
    utra
    -0.77
    berra
    -0.74
    aliation
    -0.70
    arget
    -0.70
    VERTISEMENT
    -0.69
    ahime
    -0.68
    potion
    -0.68
    arching
    -0.67
    POSITIVE LOGITS
     slightest
    1.20
     smallest
    1.14
     curs
    1.00
     mundane
    0.99
     lowly
    0.98
     simplest
    0.97
     moderately
    0.90
     casual
    0.90
     modest
    0.90
     rudimentary
    0.88
    Activations Density 0.123%

    No Known Activations