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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
    11. 19822
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    Explanations

    locations or areas

    oai_token-act-pair · gpt-3.5-turbo

    references to geographical locations and associated environmental factors

    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
     actu
    -0.77
     affirmative
    -0.70
     magician
    -0.69
    atech
    -0.68
     psychologist
    -0.66
     Faust
    -0.65
    Professional
    -0.65
     practitioner
    -0.63
     whistleblower
    -0.63
    iesel
    -0.63
    POSITIVE LOGITS
     inland
    1.44
     east
    1.40
     north
    1.39
     towns
    1.38
    outheast
    1.38
     locations
    1.37
     south
    1.35
     northwest
    1.35
    outhern
    1.34
     southwest
    1.34
    Activations Density 1.649%

    No Known Activations