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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. 7-RES-JB
    11. 14516
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    Explanations

    actions of dropping or letting go of something

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CLA
    -0.73
    shapeshifter
    -0.72
    Administ
    -0.70
    SELECT
    -0.66
    wh
    -0.64
    FORMATION
    -0.63
    Latin
    -0.61
    ALE
    -0.61
    âĸ¬
    -0.61
    Previous
    -0.61
    POSITIVE LOGITS
     bombshell
    0.90
     bombs
    0.84
     leaflets
    0.82
     hints
    0.77
     Tow
    0.76
    rants
    0.71
     inhib
    0.70
    owship
    0.69
     stairs
    0.68
     curtain
    0.68
    Activations Density 0.102%

    No Known Activations