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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. 12-RES-JB
    11. 3048
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    Explanations

    interview-related content within documents

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to interviews and interview-related content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bang
    -0.76
    mil
    -0.75
    borgh
    -0.74
    bane
    -0.72
    flies
    -0.70
    math
    -0.68
    lore
    -0.66
    blue
    -0.62
    ModLoader
    -0.60
    DIV
    -0.60
    POSITIVE LOGITS
    ees
    1.32
    ee
    1.14
     conducted
    1.09
     transcripts
    0.96
     transcript
    0.92
     Transcript
    0.88
     with
    0.86
     aired
    0.84
     taped
    0.82
     interview
    0.77
    Activations Density 0.090%

    No Known Activations