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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. 9-RES-JB
    11. 5835
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    Explanations

    phrases related to imitation or replication

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to imitation or replication

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    starter
    -0.77
    arta
    -0.72
    bes
    -0.71
    Synopsis
    -0.70
    vation
    -0.69
    secut
    -0.67
    fixed
    -0.67
    asse
    -0.67
    taboola
    -0.67
    oji
    -0.65
    POSITIVE LOGITS
     likeness
    0.87
    lihood
    0.85
     reality
    0.84
    iliar
    0.77
    ROR
    0.72
     scenes
    0.69
     aspects
    0.68
    gypt
    0.67
     realities
    0.66
    reality
    0.66
    Activations Density 0.080%

    No Known Activations