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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. 4837
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    adjectives and verbs related to hidden or undisclosed contexts

    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
     fixtures
    -0.70
     drawer
    -0.69
     flooding
    -0.68
     halves
    -0.67
     bands
    -0.65
     ank
    -0.65
     Ajax
    -0.65
     sweeps
    -0.65
     Tut
    -0.65
     Lod
    -0.63
    POSITIVE LOGITS
    balanced
    1.40
    ruly
    1.39
    character
    1.35
    productive
    1.34
    assuming
    1.34
    important
    1.33
    anticipated
    1.32
    interesting
    1.31
    readable
    1.31
    spoken
    1.29
    Activations Density 0.027%

    No Known Activations