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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. 5205
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    Explanations

    comments in computer code

    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
    ylum
    -0.80
    acia
    -0.71
    agame
    -0.69
    avorite
    -0.68
     Vaugh
    -0.67
    ogy
    -0.66
    atre
    -0.64
     Bowie
    -0.64
    isodes
    -0.63
     arri
    -0.63
    POSITIVE LOGITS
    ////////////////////////////////
    1.32
    ////////
    1.29
    ////////////////
    1.23
    ================================================================
    1.15
     TOD
    1.09
    ########
    1.07
    ################################
    1.06
    ERROR
    1.05
    ################
    1.04
    ----------------------------------------------------------------
    1.00
    Activations Density 0.029%

    No Known Activations