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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. 10-RES-JB
    11. 6940
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    Explanations

    mentions of locations, particularly Washington, DC

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Washington" and variations of it

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    =-=-=-=-=-=-=-=-
    -0.87
    γ
    -0.72
    inarily
    -0.69
    lass
    -0.69
    inous
    -0.66
    INAL
    -0.66
    emi
    -0.66
    illus
    -0.65
    ãĤ½
    -0.64
    milo
    -0.64
    POSITIVE LOGITS
     DC
    1.58
     D
    1.19
    DC
    1.12
     Wizards
    1.07
     Washington
    1.00
    Washington
    0.91
     Dull
    0.90
     District
    0.87
    D
    0.78
     Wash
    0.76
    Activations Density 0.047%

    No Known Activations