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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. 20137
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    INDEX
    Explanations

    references to interviews

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "interview" and related phrases

    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
    math
    -0.84
    axy
    -0.83
    ciplinary
    -0.75
    mil
    -0.72
    ¶ħ
    -0.69
    reck
    -0.68
    cil
    -0.68
    fal
    -0.67
    astical
    -0.67
    blue
    -0.65
    POSITIVE LOGITS
    ees
    1.17
     interviews
    0.97
     interview
    0.95
     Interview
    0.85
    ee
    0.84
     transcripts
    0.84
    ioned
    0.84
    Interview
    0.83
     subjects
    0.81
     Transcript
    0.81
    Activations Density 0.032%

    No Known Activations