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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. 14271
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    Explanations

    phrases describing partnerships or collaborations

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating partnerships or collaborations

    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
    ptoms
    -0.78
    clips
    -0.71
    ndra
    -0.64
     disproportion
    -0.63
     lag
    -0.61
    iltration
    -0.61
    Fla
    -0.60
     "$:/
    -0.60
    itri
    -0.59
    culus
    -0.58
    POSITIVE LOGITS
     regard
    0.86
     regards
    0.85
     impunity
    0.83
    è¦ļéĨĴ
    0.78
     fellow
    0.74
    FUL
    0.69
     collaborators
    0.66
    ãĤ´ãĥ³
    0.65
     respect
    0.65
     academia
    0.65
    Activations Density 0.099%

    No Known Activations