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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 9-RES-JB
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    Explanations

    references to locations in Washington, D.C

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "Washington" along with related geographical references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    =-=-=-=-=-=-=-=-
    -0.84
    inarily
    -0.78
    isoft
    -0.75
    hani
    -0.74
    idae
    -0.68
    γ
    -0.67
    natureconservancy
    -0.66
     Aval
    -0.66
    Quote
    -0.66
    INAL
    -0.66
    POSITIVE LOGITS
     DC
    1.28
     D
    0.94
    DC
    0.93
     District
    0.82
     Wizards
    0.81
     Washington
    0.73
     circles
    0.71
     Jefferson
    0.68
    dc
    0.67
    Va
    0.64
    Activations Density 0.079%

    No Known Activations