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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. 4901
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    Explanations

    locations or environments associated with darkness or depth

    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
    INC
    -0.75
     applicant
    -0.65
    ACP
    -0.65
    committee
    -0.64
    Pitt
    -0.64
     Board
    -0.63
    Effective
    -0.63
    Point
    -0.62
     successful
    -0.62
    Card
    -0.62
    POSITIVE LOGITS
     depths
    1.32
     abyss
    1.26
     darkness
    1.13
     pits
    1.01
     realms
    1.00
     trenches
    1.00
     gloom
    1.00
     haze
    0.98
     confines
    0.98
     wilderness
    0.95
    Activations Density 0.261%

    No Known Activations