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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. 4-RES-JB
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    Explanations

    references to military bases, particularly Forts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the location "Fort" followed by a numerical designation

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

    No Comments

    Negative Logits
    Magikarp
    -0.70
    lihood
    -0.69
    Companies
    -0.65
    TextColor
    -0.63
     subscribing
    -0.62
    lyak
    -0.62
    akers
    -0.62
    Publisher
    -0.62
    soever
    -0.61
    âĹ¼
    -0.61
    POSITIVE LOGITS
    uitous
    1.37
    itude
    1.17
    dinand
    1.05
     Fort
    1.03
    ieth
    1.03
     Lauderdale
    0.99
    oise
    0.92
    resses
    0.91
    isec
    0.87
    camp
    0.84
    Activations Density 0.011%

    No Known Activations