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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. 14267
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    INDEX
    Explanations

    references to numbers in certain contexts

    oai_token-act-pair · gpt-3.5-turbo

    elements related to company operations and performance evaluation based on various criteria

    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
    >>>>>>>>
    -0.73
     Alv
    -0.59
    ////////////////
    -0.57
    etheless
    -0.56
     impunity
    -0.56
     convol
    -0.54
     Alas
    -0.53
    pload
    -0.53
    ithering
    -0.53
     Jinping
    -0.53
    POSITIVE LOGITS
     specified
    0.81
     selected
    0.79
     relevant
    0.78
     desired
    0.72
     eligible
    0.68
     matched
    0.68
     interacted
    0.67
     respective
    0.67
     clicked
    0.66
     compatible
    0.66
    Activations Density 0.950%

    No Known Activations