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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. 7-RES-JB
    11. 22707
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    INDEX
    Explanations

    positive descriptions or recommendations for books

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate recommendation or praise for books

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ogenesis
    -0.83
    uez
    -0.77
    coded
    -0.75
    é¾į
    -0.73
    Filename
    -0.68
    ariat
    -0.67
    pless
    -0.66
    soDeliveryDate
    -0.66
    prefix
    -0.66
    ozo
    -0.65
    POSITIVE LOGITS
     Helpful
    1.13
    Excellent
    1.03
     Excellent
    1.01
    Recommend
    1.01
     Defin
    0.99
     Highly
    0.95
    Overall
    0.93
     enjoyable
    0.92
     excellent
    0.89
    Rated
    0.89
    Activations Density 1.084%

    No Known Activations