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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. 2-RES-JB
    11. 8202
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    Explanations

    phrases related to consecutive series of wins or losses

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abad
    -0.78
    ACTED
    -0.75
    gency
    -0.71
     Lod
    -0.70
    undai
    -0.69
    hospital
    -0.67
    ãĤ¨ãĥ«
    -0.67
    NAT
    -0.66
    acting
    -0.65
    ommod
    -0.65
    POSITIVE LOGITS
     streak
    1.42
     streaks
    1.14
    iness
    0.82
     stripe
    0.76
    manship
    0.74
    hemer
    0.70
    TextColor
    0.68
    icity
    0.67
    isSpecialOrderable
    0.65
    stre
    0.65
    Activations Density 0.009%

    No Known Activations