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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. 2-RES-JB
    11. 8208
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    phrases related to physical structures or objects positioned above or at a higher level

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ifying
    -0.81
    eming
    -0.80
    ku
    -0.78
    ifier
    -0.78
    orian
    -0.77
    nesia
    -0.75
    ifies
    -0.74
    itar
    -0.74
    ifiers
    -0.70
    ony
    -0.70
    POSITIVE LOGITS
     overhead
    1.41
    ¥ŀ
    0.84
     eleph
    0.80
     crane
    0.74
    rites
    0.74
     hoops
    0.73
     satell
    0.73
     fees
    0.72
     lobe
    0.72
     hurdles
    0.69
    Activations Density 0.004%

    No Known Activations