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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. 3-RES-JB
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    Explanations

    references to the city of Phoenix

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Phoenix" in various contexts

    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
    ischer
    -0.84
    abet
    -0.76
    hirt
    -0.72
    arger
    -0.71
    gger
    -0.70
    apter
    -0.70
    uther
    -0.68
    minist
    -0.65
    orce
    -0.65
    iked
    -0.64
    POSITIVE LOGITS
     Coyotes
    1.10
     Suns
    1.08
     Wright
    0.92
     Phoenix
    0.91
    ertodd
    0.90
    Phoenix
    0.86
     Rising
    0.81
    angel
    0.79
     AZ
    0.76
     Protocol
    0.72
    Activations Density 0.007%

    No Known Activations