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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
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    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
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    No Comments

    Negative Logits
    ãħĭ
    -0.81
     crumbling
    -0.77
     blot
    -0.70
    ulp
    -0.69
     terr
    -0.69
    å°Ĩ
    -0.66
    ournal
    -0.65
    iating
    -0.65
     Fired
    -0.65
     Jamaica
    -0.63
    POSITIVE LOGITS
    bre
    1.29
    itbart
    1.14
    vity
    1.08
    akers
    1.00
    lla
    0.96
    aker
    0.93
    acher
    0.92
    tto
    0.92
    thren
    0.90
    aches
    0.89
    Activations Density 0.005%

    No Known Activations