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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. 11-RES-JB
    11. 197
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    Explanations

    phrases related to actions or events happening in a sequence

    oai_token-act-pair · gpt-3.5-turbo

    instances of arrival or approach in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥĩãĤ£
    -0.67
    "},"
    -0.57
    unless
    -0.57
    ãĤ¦ãĤ¹
    -0.55
    ãĤ¼
    -0.54
    feat
    -0.53
    \":
    -0.53
    advertisement
    -0.52
    natureconservancy
    -0.51
     hallmark
    -0.49
    POSITIVE LOGITS
     they
    1.07
     we
    0.95
     he
    0.95
     she
    0.91
    ,
    0.89
     I
    0.82
    they
    0.79
     there
    0.76
    ,...
    0.73
    soever
    0.71
    Activations Density 0.341%

    No Known Activations