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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
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    Explanations

    mentions of different museums

    oai_token-act-pair · gpt-3.5-turbo

    references to museums

    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
    avez
    -0.69
    Leary
    -0.69
    comes
    -0.66
    DH
    -0.64
    nir
    -0.64
    dies
    -0.63
    AW
    -0.61
    MW
    -0.61
    ever
    -0.61
    rd
    -0.61
    POSITIVE LOGITS
     Museum
    1.06
    ĸļ
    1.04
    useum
    1.00
     curator
    0.98
     Seym
    0.84
     Gallery
    0.83
    arium
    0.83
     Collections
    0.81
     Collection
    0.80
     museum
    0.79
    Activations Density 0.009%

    No Known Activations