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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. 6-RES-JB
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    Explanations

    mentions of the city "Austin"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Austin" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    */(
    -0.88
    theless
    -0.86
    ple
    -0.83
     externalToEVAOnly
    -0.81
    iatric
    -0.74
    coded
    -0.72
    ãĥ¯
    -0.71
    cffff
    -0.71
    brance
    -0.70
    agogue
    -0.70
    POSITIVE LOGITS
     Austin
    0.99
    Austin
    0.86
     Dillon
    0.86
     Chronicle
    0.84
     Tribune
    0.78
    ienne
    0.76
    Walker
    0.76
     Francisco
    0.70
     Powers
    0.70
    sterdam
    0.70
    Activations Density 0.016%

    No Known Activations