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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. 10-RES-JB
    11. 18887
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    Explanations

    proper nouns related to organizations and people

    oai_token-act-pair · gpt-3.5-turbo

    instances of proper nouns or names within sentences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
     (>
    -0.70
    ":"/
    -0.62
     highs
    -0.61
    ãĥ¥
    -0.59
    zn
    -0.58
     (%
    -0.58
    oret
    -0.57
    '?
    -0.56
    .#
    -0.54
    .--
    -0.54
    POSITIVE LOGITS
    who
    0.86
    whose
    0.80
     who
    0.76
     whom
    0.73
     aka
    0.72
     whose
    0.67
     namely
    0.66
     pione
    0.64
    appointed
    0.63
    Magikarp
    0.63
    Activations Density 0.199%

    No Known Activations