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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. 7-RES-JB
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    Explanations

    words related to the city of Phoenix

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Phoenix" and its related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ischer
    -0.75
    hirt
    -0.73
    ACTION
    -0.73
    oys
    -0.71
    redo
    -0.70
    asted
    -0.70
    arger
    -0.70
    icate
    -0.68
    perature
    -0.66
    icates
    -0.65
    POSITIVE LOGITS
     Suns
    1.12
     Coyotes
    1.06
     Wright
    0.93
     Rising
    0.91
    angel
    0.83
    oning
    0.83
     Phoenix
    0.78
     AZ
    0.78
    Phoenix
    0.75
    ertodd
    0.71
    Activations Density 0.029%

    No Known Activations