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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. 7277
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    Explanations

    prepositions indicating location or direction

    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
    isphere
    -0.63
    .�
    -0.62
    oster
    -0.59
    .''.
    -0.57
    Synopsis
    -0.56
    <|endoftext|>
    -0.56
    .*
    -0.55
    Register
    -0.55
    WASHINGTON
    -0.54
    ";
    -0.53
    POSITIVE LOGITS
     others
    0.74
     downside
    0.70
     meanwhile
    0.70
    rast
    0.69
     secondly
    0.67
    essee
    0.66
     drawback
    0.65
     contrast
    0.65
    nce
    0.63
    essor
    0.63
    Activations Density 0.368%

    No Known Activations