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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. 4-RES-JB
    11. 3315
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    Explanations

    phrases indicating collaboration or joint activities

    oai_token-act-pair · gpt-3.5-turbo

    the word "with" in various contexts

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

    No Comments

    Negative Logits
    iland
    -0.74
     Reincarn
    -0.73
    orius
    -0.69
    dark
    -0.66
    spec
    -0.65
    -|
    -0.63
    mid
    -0.62
    aji
    -0.61
    izens
    -0.60
    DO
    -0.59
    POSITIVE LOGITS
     regards
    0.90
     regard
    0.83
     impunity
    0.82
    ++++
    0.77
    hedral
    0.71
    ++++++++++++++++
    0.71
     everything
    0.70
     ease
    0.69
     groceries
    0.67
     Bohem
    0.66
    Activations Density 0.039%

    No Known Activations