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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 8961
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    Explanations

    mentions of specific initiatives or programs aimed at helping marginalized communities, especially in youth development

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     crem
    -0.82
    zbollah
    -0.78
     payroll
    -0.77
    rug
    -0.77
     Berman
    -0.77
    \\\\
    -0.74
     insurer
    -0.74
     hosp
    -0.72
    Merc
    -0.72
    nec
    -0.71
    POSITIVE LOGITS
     teens
    1.78
     youth
    1.75
     teen
    1.73
     youths
    1.73
     boys
    1.67
     boy
    1.66
     adolescent
    1.65
     Teen
    1.64
     teenagers
    1.62
     teenager
    1.60
    Activations Density 0.539%

    No Known Activations