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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. 14508
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    Explanations

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    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
    urses
    -0.81
    ĪĴ
    -0.75
    IRE
    -0.74
     todd
    -0.74
    arus
    -0.73
    inders
    -0.73
    osponsors
    -0.71
    ardo
    -0.71
    reditary
    -0.69
    estern
    -0.68
    POSITIVE LOGITS
    pheus
    0.73
     anymore
    0.72
     Ruk
    0.71
    gs
    0.71
    pring
    0.70
     Isles
    0.70
    liest
    0.68
    backs
    0.68
     quo
    0.67
    ioned
    0.66
    Activations Density 0.021%

    No Known Activations