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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. 14491
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    Explanations

    phrases related to expressing personal thoughts or opinions

    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
     Converted
    -0.69
    adelphia
    -0.67
    ģĸ
    -0.67
    ynski
    -0.63
     Landing
    -0.61
     Publishers
    -0.60
    lisher
    -0.59
    hesda
    -0.58
     rolls
    -0.58
     Expend
    -0.58
    POSITIVE LOGITS
     louder
    0.91
     voic
    0.89
    clusively
    0.82
     loudly
    0.81
     loud
    0.75
     talk
    0.74
     tongues
    0.74
     whist
    0.73
     speeches
    0.73
     aloud
    0.73
    Activations Density 0.173%

    No Known Activations