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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. 7-RES-JB
    6. 22077
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    Explanations

    locations or places

    oai_token-act-pair · gpt-3.5-turbo

    geographical and locational references

    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
    itus
    -0.62
    ĪĴ
    -0.61
    enough
    -0.58
    answered
    -0.56
    exit
    -0.56
    ede
    -0.55
    ]}
    -0.54
    ueless
    -0.54
    ignore
    -0.54
    ibur
    -0.54
    POSITIVE LOGITS
     mainly
    0.83
     primarily
    0.83
     extensively
    0.74
     chiefly
    0.73
     principally
    0.65
     approximately
    0.64
     mostly
    0.63
     Located
    0.62
     consist
    0.62
     averaging
    0.61
    Activations Density 1.125%

    No Known Activations