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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. 11-RES-JB
    11. 7155
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    Explanations

    verbs related to thinking or opinions

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yna
    -0.86
    Redditor
    -0.73
    oubted
    -0.72
    iona
    -0.72
    ulia
    -0.70
    qqa
    -0.66
    inar
    -0.65
    etermined
    -0.65
    lehem
    -0.64
    acted
    -0.64
    POSITIVE LOGITS
     differently
    1.08
     otherwise
    0.93
     alike
    0.84
     twice
    0.84
     they
    0.84
     about
    0.81
    lessly
    0.76
     that
    0.72
    fulness
    0.69
    fully
    0.68
    Activations Density 0.078%

    No Known Activations