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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. 13165
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    INDEX
    Explanations

    instances of the word "identify"

    oai_token-act-pair · gpt-3.5-turbo

    words related to the act of identifying or recognizing something

    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
    fare
    -0.85
    ework
    -0.83
    orld
    -0.72
    steel
    -0.70
    aptic
    -0.68
    obar
    -0.67
    hetti
    -0.67
    bone
    -0.66
    neau
    -0.65
    mare
    -0.65
    POSITIVE LOGITS
     weaknesses
    0.79
    pointers
    0.78
     flaws
    0.75
    ively
    0.75
     shortcomings
    0.73
     landmarks
    0.72
     deficiencies
    0.71
     gaps
    0.68
    ational
    0.66
    ity
    0.65
    Activations Density 0.057%

    No Known Activations