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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. 9-RES-JB
    11. 2410
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    Explanations

    numerical values related to time or quantity

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    edIn
    -0.74
    oS
    -0.71
    auga
    -0.67
     Gleaming
    -0.66
    ongyang
    -0.65
    Ŀ
    -0.65
    ĵĺ
    -0.64
     Strongh
    -0.63
     indo
    -0.61
    emouth
    -0.61
    POSITIVE LOGITS
     finale
    0.98
    liest
    0.91
     festivities
    0.83
    long
    0.81
     opener
    0.75
    forth
    0.69
    ultimate
    0.69
    finals
    0.68
    lies
    0.68
    burn
    0.66
    Activations Density 0.153%

    No Known Activations