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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. 2258
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    Explanations

    phrases expressing personal thoughts or reflections

    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
     Publication
    -0.66
    Site
    -0.65
    ullivan
    -0.65
    Publisher
    -0.63
     Subcommittee
    -0.63
     Spons
    -0.63
     NYT
    -0.62
     CLR
    -0.62
     Hole
    -0.61
     reviewer
    -0.60
    POSITIVE LOGITS
     gotta
    1.09
     wanna
    1.02
    'm
    0.99
     feel
    0.98
     got
    0.91
     think
    0.90
     grav
    0.90
     get
    0.88
     remember
    0.88
    've
    0.86
    Activations Density 0.348%

    No Known Activations