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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. 4-RES-JB
    11. 6324
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    Explanations

    the word "ler" with varying activation levels

    oai_token-act-pair · gpt-3.5-turbo

    the presence of the word "Kempler" in various contexts

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

    No Comments

    Negative Logits
    raints
    -0.74
    ADRA
    -0.71
    popular
    -0.68
    ouls
    -0.64
     Occupations
    -0.64
    abis
    -0.63
    SIM
    -0.61
    Latin
    -0.60
    ANA
    -0.59
    Its
    -0.59
    POSITIVE LOGITS
    gren
    0.99
    oad
    0.98
    iffe
    0.97
    istics
    0.93
    ogue
    0.84
    onnaissance
    0.81
    sonian
    0.79
    mann
    0.78
    quist
    0.78
    icum
    0.78
    Activations Density 0.018%

    No Known Activations