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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. 4340
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    Explanations

    dollar amounts

    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
    worldly
    -0.65
     Jinn
    -0.60
    frame
    -0.60
     resemblance
    -0.59
    frames
    -0.57
     hub
    -0.57
     Anarchy
    -0.57
     opp
    -0.56
     Revel
    -0.56
    chin
    -0.55
    POSITIVE LOGITS
    000
    1.79
    00
    1.04
    0000
    0.98
    001
    0.96
     000
    0.88
    0002
    0.87
    00000000
    0.84
    00000
    0.84
    0001
    0.80
    600
    0.80
    Activations Density 0.103%

    No Known Activations