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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
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    Explanations

    references to the location "Washington"

    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
    vana
    -0.85
    leness
    -0.82
    ONY
    -0.74
    ItemImage
    -0.72
    otal
    -0.69
     Cameroon
    -0.68
    selection
    -0.68
    cffffcc
    -0.65
    sole
    -0.65
    lease
    -0.65
    POSITIVE LOGITS
     DC
    1.28
     Dull
    1.11
     Capitals
    1.08
     Redskins
    1.07
     Post
    1.06
     Heights
    1.05
    sonian
    1.04
     Examiner
    0.99
     Irving
    0.95
     Monument
    0.93
    Activations Density 0.045%

    No Known Activations