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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. 4438
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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
    ihad
    -0.60
    ullah
    -0.60
    essa
    -0.60
    ament
    -0.55
    ierrez
    -0.54
    ridge
    -0.54
    rosso
    -0.52
    kos
    -0.52
    ribut
    -0.51
    clips
    -0.51
    POSITIVE LOGITS
     to
    1.14
     overboard
    0.81
     nowhere
    0.80
     nuts
    0.75
     extinct
    0.73
     crazy
    0.73
     ta
    0.71
    ©¶æ
    0.70
     TO
    0.68
     into
    0.66
    Activations Density 0.047%

    No Known Activations