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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. 9610
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    INDEX
    Explanations

    relevant numerical values or measurements within the text, such as quantities or statistics

    oai_token-act-pair · gpt-3.5-turbo

    numerical values, specifically related to measurements or statistics

    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
    ugal
    -0.93
    acia
    -0.75
    unes
    -0.73
    emade
    -0.73
    swick
    -0.72
    unal
    -0.72
    coat
    -0.71
    munition
    -0.70
    icial
    -0.70
    inges
    -0.69
    POSITIVE LOGITS
     ILCS
    0.91
    MHz
    0.75
     MHz
    0.74
    6666
    0.73
     Rue
    0.72
    px
    0.72
     calories
    0.68
    490
    0.68
     needles
    0.67
    789
    0.67
    Activations Density 0.062%

    No Known Activations