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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. 2512
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    Explanations

    past tense verbs

    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
     Stability
    -0.73
     Current
    -0.71
     Extend
    -0.68
     Replacement
    -0.66
    worthiness
    -0.66
    iosyncr
    -0.64
     imped
    -0.63
    ð
    -0.63
     derives
    -0.61
     continuum
    -0.61
    POSITIVE LOGITS
     fortunate
    1.34
     wondering
    1.27
     lucky
    1.23
     hoping
    1.20
     tempted
    1.19
     expecting
    1.18
     glad
    1.17
     able
    1.16
     amazed
    1.15
     afraid
    1.14
    Activations Density 0.174%

    No Known Activations