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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. 6-RES-JB
    11. 308
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    Explanations

    instances of text referring to the action of "adopting" or "filing" items or reports

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate the presence of documents or reports related to formal procedures or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bies
    -0.64
    mAh
    -0.60
    strap
    -0.60
    axy
    -0.59
     slump
    -0.57
    mage
    -0.56
    strous
    -0.56
    pad
    -0.55
    chuk
    -0.55
     Awakens
    -0.54
    POSITIVE LOGITS
    stood
    1.54
     regard
    1.37
     regards
    1.36
    drawn
    1.25
    draw
    1.24
    standing
    1.07
     respect
    1.07
     impunity
    1.05
    holding
    1.01
    held
    0.89
    Activations Density 0.223%

    No Known Activations