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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. 4250
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    Explanations

    references to different individuals along with a brief description or background information about them

    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
    canon
    -0.86
    eus
    -0.78
     assassination
    -0.75
     infall
    -0.75
     Ministers
    -0.69
     throne
    -0.69
     discredited
    -0.68
     tainted
    -0.68
     treason
    -0.67
     ransom
    -0.67
    POSITIVE LOGITS
    veland
    0.90
     biking
    0.81
     volunteering
    0.78
    Redditor
    0.78
     commuting
    0.77
    oola
    0.75
     crochet
    0.74
     autistic
    0.74
     knitting
    0.74
     unemployed
    0.73
    Activations Density 0.529%

    No Known Activations