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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. 9-RES-JB
    11. 6935
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    INDEX
    Explanations

    opportunities or chances in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to opportunities and chances in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     impressions
    -0.72
    Edited
    -0.69
    waters
    -0.66
    oxide
    -0.65
    igl
    -0.65
    ynski
    -0.64
    ols
    -0.64
    ortment
    -0.64
     routines
    -0.64
     batches
    -0.62
    POSITIVE LOGITS
    izons
    0.78
     afforded
    0.76
    xxxxxxxx
    0.76
     arises
    0.74
     limitless
    0.73
     arise
    0.73
     bidder
    0.72
     granted
    0.71
     beck
    0.69
    isSpecialOrderable
    0.69
    Activations Density 0.452%

    No Known Activations