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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. 9509
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    Explanations

    references to the "White House"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the White House

    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
    ITAL
    -0.82
     WATCHED
    -0.78
    odcast
    -0.74
    ENDED
    -0.73
    rieg
    -0.72
    orsi
    -0.71
    ModLoader
    -0.70
    olls
    -0.70
    raints
    -0.69
    trak
    -0.69
    POSITIVE LOGITS
    house
    1.13
    caps
    1.10
    berry
    1.06
     Sox
    1.00
    hurst
    0.99
     supremacist
    0.98
    horse
    0.96
    hall
    0.95
    horn
    0.94
     supremacists
    0.90
    Activations Density 0.023%

    No Known Activations