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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. 4209
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    oai_token-act-pair · gpt-3.5-turbo
    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
     Wiley
    -0.67
     Daisy
    -0.67
     Mistress
    -0.66
     Judges
    -0.64
    İĭ
    -0.63
     Apostles
    -0.60
    cale
    -0.60
     Roe
    -0.60
    ilk
    -0.60
     Misty
    -0.59
    POSITIVE LOGITS
    heads
    1.06
    head
    1.04
    ier
    0.86
    iness
    0.84
    iest
    0.84
    heading
    0.76
    haul
    0.76
    vertisement
    0.76
    ascript
    0.75
    weights
    0.74
    Activations Density 0.040%

    No Known Activations