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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. 4017
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    Explanations

    numerical values followed by units of measurement

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics

    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
    ques
    -0.73
    jay
    -0.72
    que
    -0.72
    luster
    -0.71
    abolic
    -0.69
    clipse
    -0.68
    ches
    -0.68
    paralle
    -0.66
    eers
    -0.65
    chal
    -0.64
    POSITIVE LOGITS
    s
    0.91
     ILCS
    0.83
    iated
    0.80
    iate
    0.74
    âĶģ
    0.70
     CLIENT
    0.68
     degrees
    0.67
     sqor
    0.67
    isse
    0.67
    iates
    0.65
    Activations Density 0.080%

    No Known Activations