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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. 5617
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    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
    holding
    -0.67
    chnology
    -0.66
     innocence
    -0.65
    ngth
    -0.65
     Lauder
    -0.63
     Elements
    -0.59
     casing
    -0.59
     generation
    -0.58
     invari
    -0.58
     indign
    -0.58
    POSITIVE LOGITS
    iterranean
    1.40
    ieval
    1.31
    ication
    1.28
    itations
    1.25
    ications
    1.22
    icated
    1.19
    itated
    1.19
    ulla
    1.17
    itating
    1.16
    icum
    1.16
    Activations Density 0.050%

    No Known Activations