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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. 10-RES-JB
    11. 4405
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sclerosis
    -0.72
    agate
    -0.71
    ACTED
    -0.66
    oak
    -0.65
     Distribut
    -0.65
    oit
    -0.64
     RTX
    -0.63
    endi
    -0.61
    assian
    -0.61
    olor
    -0.61
    POSITIVE LOGITS
     certainly
    1.10
     exclusively
    1.10
     invariably
    0.99
     universally
    0.92
     immediately
    0.92
     identical
    0.92
     entirely
    0.90
     uniformly
    0.90
     unanimously
    0.90
     unanimous
    0.89
    Activations Density 0.036%

    No Known Activations