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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 21211
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    INDEX
    Explanations

    numbers, particularly those indicating a specific quantity or range

    oai_token-act-pair · gpt-3.5-turbo

    numerical data, particularly ranges and quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     conduc
    -0.65
     unnecess
    -0.60
     correctly
    -0.57
     alike
    -0.55
     whatsoever
    -0.54
     notor
    -0.53
     unfocusedRange
    -0.53
     therap
    -0.53
    Reviewer
    -0.53
     behavi
    -0.51
    POSITIVE LOGITS
    ]-
    0.79
    %-
    0.79
    -$
    0.72
     and
    0.71
    gee
    0.71
    ties
    0.71
    endor
    0.64
    brow
    0.62
    ]"
    0.62
    and
    0.62
    Activations Density 0.084%

    No Known Activations