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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. 2488
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    Explanations

    references to different types of grass

    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
    icts
    -0.81
     Somers
    -0.72
     Bucc
    -0.72
    utral
    -0.71
     Nept
    -0.69
     Fas
    -0.66
    uras
    -0.64
    iction
    -0.62
     LINK
    -0.61
     psychiatry
    -0.61
    POSITIVE LOGITS
    roots
    1.44
    ho
    1.31
    lands
    1.26
    root
    1.00
    dale
    1.00
    land
    0.98
    wood
    0.97
    fed
    0.96
    leaf
    0.96
    flower
    0.96
    Activations Density 0.062%

    No Known Activations