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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. 11325
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    INDEX
    Explanations

    adjectives and phrases related to qualities such as good, bad, and ugly

    oai_token-act-pair · gpt-3.5-turbo

    negative experiences and the contrast between positive and negative aspects in personal narratives

    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
    nesty
    -0.77
     Alternatively
    -0.69
    thood
    -0.69
    aken
    -0.66
    illon
    -0.65
    1001
    -0.65
    utan
    -0.65
    uthor
    -0.64
    iji
    -0.64
    ason
    -0.63
    POSITIVE LOGITS
     slightest
    1.11
    ses
    1.04
     latter
    1.03
     smallest
    1.02
    oret
    0.96
     rest
    0.96
     whole
    0.95
     entirety
    0.94
     biggest
    0.91
     shortest
    0.90
    Activations Density 0.231%

    No Known Activations