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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. 4304
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    Explanations

    references to productions or products

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the act of producing creative works or media

    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
    ede
    -0.78
    cas
    -0.69
    apo
    -0.68
    achine
    -0.67
    esa
    -0.66
    bi
    -0.66
    nee
    -0.65
     stake
    -0.65
    hatt
    -0.61
    hattan
    -0.61
    POSITIVE LOGITS
    encers
    0.80
    女
    0.79
    ĸļ
    0.78
    rious
    0.76
    Output
    0.75
    furt
    0.72
    л
    0.71
     corrid
    0.69
    chnology
    0.69
     PRODUCT
    0.68
    Activations Density 0.018%

    No Known Activations