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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. 5226
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    Explanations

    references to the act of writing or recording

    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
    availability
    -0.65
    his
    -0.60
    States
    -0.59
    Posts
    -0.59
    compan
    -0.57
    Cub
    -0.56
    Reader
    -0.56
    he
    -0.56
    uminum
    -0.55
    externalActionCode
    -0.55
    POSITIVE LOGITS
     themselves
    1.60
    selves
    1.12
     selves
    1.07
     their
    1.04
     collectively
    0.99
     unison
    0.95
     THEIR
    0.90
     respective
    0.84
     Their
    0.84
     jointly
    0.83
    Activations Density 1.380%

    No Known Activations