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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. 10018
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    Explanations

    phrases related to time duration or temporal sequences

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to transitions and changes in circumstances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
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    Negative Logits
    Adds
    -0.71
     meanwhile
    -0.55
     depends
    -0.54
     Transparency
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     analogy
    -0.51
    ":""},{"
    -0.49
    resa
    -0.49
    utterstock
    -0.49
     Koran
    -0.47
    TPPStreamerBot
    -0.47
    POSITIVE LOGITS
    )).
    0.70
    .).
    0.65
    }.
    0.63
    ]).
    0.62
    catentry
    0.57
    ].
    0.57
    $.
    0.55
     respectively
    0.54
    ryu
    0.53
     attRot
    0.53
    Activations Density 2.048%

    No Known Activations