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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. 6-RES-JB
    11. 13961
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to extensive studies and analysis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    estern
    -0.58
    ogg
    -0.56
    oret
    -0.53
    ibles
    -0.49
    urable
    -0.48
    ãĤ§
    -0.48
    wolves
    -0.47
    olls
    -0.47
     Pulitzer
    -0.47
    ographics
    -0.46
    POSITIVE LOGITS
    .''.
    1.05
    .).
    1.04
    .''
    0.98
    }.
    0.97
    `.
    0.96
    .
    0.96
    !.
    0.94
    '.
    0.93
    _.
    0.93
    ].
    0.93
    Activations Density 1.595%

    No Known Activations