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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. 4911
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    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
     rewrite
    -0.62
     Potion
    -0.62
     rewriting
    -0.61
    zsche
    -0.61
     playbook
    -0.61
     microscope
    -0.60
    THING
    -0.58
    chemy
    -0.57
    epad
    -0.57
     resemb
    -0.56
    POSITIVE LOGITS
     residents
    1.27
     recipients
    1.24
     users
    1.22
     workers
    1.18
     learners
    1.17
     subscribers
    1.15
     citizens
    1.15
    arers
    1.14
     students
    1.14
     participants
    1.13
    Activations Density 0.953%

    No Known Activations