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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. 17678
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    Explanations

    numeric sequences

    oai_token-act-pair · gpt-3.5-turbo

    numerical data or sequences

    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
    agna
    -0.73
    retch
    -0.67
     rushed
    -0.59
     damned
    -0.59
     swear
    -0.59
     prescribed
    -0.57
    fred
    -0.57
    igate
    -0.57
     scapego
    -0.57
     vow
    -0.56
    POSITIVE LOGITS
    +,
    0.97
    +.
    0.88
    +
    0.84
    Edit
    0.83
    PO
    0.76
    TION
    0.76
    DX
    0.76
    DM
    0.75
    âĢ²
    0.74
    BSD
    0.73
    Activations Density 0.094%

    No Known Activations