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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. 10-RES-JB
    11. 4734
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    words related to recalling or remembering

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ULTS
    -0.70
    chnology
    -0.68
    adh
    -0.67
    uper
    -0.66
    Released
    -0.66
    Ãį
    -0.65
    hung
    -0.65
    Contents
    -0.64
    eled
    -0.64
    gui
    -0.63
    POSITIVE LOGITS
     how
    0.89
    ably
    0.82
    remember
    0.81
    ing
    0.78
    ance
    0.72
     when
    0.72
     whence
    0.70
     that
    0.68
     those
    0.68
     why
    0.67
    Activations Density 0.029%

    No Known Activations