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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. 9658
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    Explanations

    verbs relating to actions being done to objects

    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
    lance
    -0.81
    tackle
    -0.78
     Talent
    -0.73
     presiding
    -0.71
    noon
    -0.67
    SPONSORED
    -0.66
    arta
    -0.65
    ressive
    -0.64
    orship
    -0.64
    erous
    -0.63
    POSITIVE LOGITS
     stored
    1.04
     processed
    1.01
     shipped
    1.00
     exchanged
    1.00
     harvested
    1.00
     reproduced
    0.96
     scanned
    0.93
     transferred
    0.92
     sourced
    0.90
     grouped
    0.89
    Activations Density 0.457%

    No Known Activations