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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. 2-RES-JB
    11. 8136
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    Explanations

    **national** as a keyword

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.84
    enhagen
    -0.78
    holes
    -0.76
    YE
    -0.75
    omething
    -0.74
    herty
    -0.73
    Feed
    -0.71
    MODE
    -0.70
    rained
    -0.69
    eva
    -0.67
    POSITIVE LOGITS
    ised
    0.89
    ities
    0.88
    ized
    0.85
     anthem
    0.84
    wide
    0.82
     Geographic
    0.80
    istic
    0.77
    ité
    0.76
    istically
    0.75
     sovere
    0.74
    Activations Density 0.027%

    No Known Activations