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

    references to a sports team named "Rangers."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the "Rangers" sports team

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ¢
    -0.75
    jamin
    -0.75
    elly
    -0.74
    à
    -0.73
    itia
    -0.72
    odus
    -0.69
    orable
    -0.69
    ortion
    -0.67
    ĵ
    -0.66
    icating
    -0.66
    POSITIVE LOGITS
     Rangers
    1.14
     Regiment
    0.82
     Jagu
    0.77
     Guards
    0.76
     Yard
    0.75
     Dogs
    0.73
    folk
    0.70
     Ranger
    0.70
    men
    0.70
    seek
    0.69
    Activations Density 0.006%

    No Known Activations