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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. 7256
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    proper nouns

    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
     haste
    -0.64
     reliably
    -0.63
     ));
    -0.63
     uncertain
    -0.60
     predictable
    -0.59
     grounds
    -0.58
     waivers
    -0.56
     sanctuary
    -0.56
     decl
    -0.56
     measured
    -0.55
    POSITIVE LOGITS
    foundland
    0.98
    estine
    0.98
    odore
    0.97
    anmar
    0.96
    tainment
    0.89
    Chem
    0.88
    agascar
    0.81
    cellence
    0.81
    agate
    0.80
    etheus
    0.80
    Activations Density 0.241%

    No Known Activations