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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
    11. 3959
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    INDEX
    Explanations

    acronyms related to a specific location or organization (SF)

    oai_token-act-pair · gpt-3.5-turbo

    mentions of San Francisco

    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
    lain
    -0.86
    xual
    -0.80
    stall
    -0.78
    pins
    -0.74
    abase
    -0.71
    theless
    -0.71
    gie
    -0.69
    ombo
    -0.69
    iasis
    -0.69
    tan
    -0.69
    POSITIVE LOGITS
    SF
    1.05
    PD
    1.04
     Chronicle
    0.97
     SF
    0.97
    WA
    0.94
    DF
    0.89
    ML
    0.88
    ORTS
    0.88
    DC
    0.86
    DT
    0.86
    Activations Density 0.004%

    No Known Activations