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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. 7-RES-JB
    11. 3067
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ild
    -0.60
    las
    -0.58
    éĸ
    -0.55
    chwitz
    -0.55
    mun
    -0.54
    othe
    -0.53
    ãĤ§
    -0.53
    ror
    -0.53
    ron
    -0.52
    irable
    -0.52
    POSITIVE LOGITS
    theless
    0.59
     everywhere
    0.58
     consisted
    0.54
     Everywhere
    0.50
     onwards
    0.49
     lasted
    0.47
     consists
    0.45
     notwithstanding
    0.44
     extensively
    0.44
     misled
    0.43
    Activations Density 1.294%

    No Known Activations