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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
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    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
    vae
    -0.69
    =-=-=-=-=-=-=-=-
    -0.68
    cale
    -0.64
    thin
    -0.63
     Floating
    -0.61
    reci
    -0.60
     Hou
    -0.60
    gm
    -0.59
     Plum
    -0.58
     Sail
    -0.57
    POSITIVE LOGITS
     associations
    1.15
     association
    1.05
    eer
    0.99
     affili
    0.91
    ality
    0.86
    ually
    0.85
    ociation
    0.84
    eering
    0.83
    eers
    0.83
    anguage
    0.80
    Activations Density 0.013%

    No Known Activations