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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. 4205
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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
     tert
    -0.78
     tremend
    -0.73
     sender
    -0.73
     seiz
    -0.72
    ADRA
    -0.70
     accomp
    -0.68
     flare
    -0.66
     occas
    -0.66
    ctions
    -0.65
     rall
    -0.65
    POSITIVE LOGITS
    ings
    1.13
    stone
    1.08
    bread
    1.06
    bones
    1.02
    ingly
    1.01
    bridge
    1.00
    sheets
    0.99
    stakes
    0.99
    grass
    0.98
    hound
    0.96
    Activations Density 0.250%

    No Known Activations