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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. 2-RES-JB
    11. 8159
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    Explanations

    mentions of the term "Mini" at varying levels of activation intensity

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âķIJâķIJ
    -0.87
    itbart
    -0.76
    tics
    -0.75
    metic
    -0.71
    lined
    -0.70
    REAM
    -0.64
    nces
    -0.63
    mass
    -0.62
    Ö¼
    -0.62
    ä½ľ
    -0.61
    POSITIVE LOGITS
    ature
    1.43
    atures
    1.18
    atur
    0.94
    ocular
    0.81
    Mini
    0.80
     Mini
    0.78
    ota
    0.71
    ISTER
    0.70
    eco
    0.69
    album
    0.69
    Activations Density 0.006%

    No Known Activations