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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 20921
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    Explanations

    mentions of various museums and art institutions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various museums and their names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nir
    -0.75
    aneously
    -0.68
    yip
    -0.67
    ĪĴ
    -0.67
    maxwell
    -0.66
    sed
    -0.66
    rising
    -0.65
    ayn
    -0.64
     retard
    -0.64
    ---------
    -0.63
    POSITIVE LOGITS
     curator
    1.07
    useum
    1.07
     exhibition
    0.98
     museum
    0.98
     galleries
    0.95
     exhibit
    0.93
     exhibitions
    0.93
     exhibits
    0.92
    arium
    0.90
     museums
    0.89
    Activations Density 0.040%

    No Known Activations