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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. 1-RES-JB
    11. 2820
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    Explanations

    mentions of the name "Chaplin."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Chaplin" or related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    REAM
    -0.81
    externalActionCode
    -0.79
    lied
    -0.77
    ACTED
    -0.77
    DERR
    -0.74
    20439
    -0.74
    LEASE
    -0.72
    DATA
    -0.72
    PRES
    -0.71
    FORE
    -0.70
    POSITIVE LOGITS
     Cha
    1.32
     cha
    1.26
    plin
    1.16
    plain
    1.02
    isson
    1.01
    isel
    0.83
    isen
    0.81
    unte
    0.81
    ise
    0.79
    iton
    0.78
    Activations Density 0.005%

    No Known Activations