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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. 9-RES-JB
    11. 2444
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    Explanations

    phrases indicating an introduction or elaboration on a topic

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ussia
    -0.73
    ngth
    -0.64
    abouts
    -0.62
    undy
    -0.59
    iste
    -0.58
    assisted
    -0.57
    pees
    -0.57
    SHIP
    -0.53
    eln
    -0.53
    rican
    -0.53
    POSITIVE LOGITS
     importantly
    0.86
     aside
    0.75
     furthermore
    0.73
     Lastly
    0.72
     icing
    0.71
    quickShipAvailable
    0.68
    CONCLUS
    0.67
     nutshell
    0.67
    Lastly
    0.64
     conclud
    0.64
    Activations Density 0.462%

    No Known Activations