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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 2864
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
    Not in Any Lists

    No Comments

    Negative Logits
    undrum
    -0.66
    ahime
    -0.61
     understatement
    -0.61
     Quan
    -0.58
     anecd
    -0.55
     NRS
    -0.55
     Canaan
    -0.54
     insofar
    -0.53
    mberg
    -0.52
    lectic
    -0.52
    POSITIVE LOGITS
    }}
    0.73
     deems
    0.71
     couldn
    0.68
    }}}
    0.68
    pires
    0.63
     enters
    0.62
     unfolds
    0.61
     becomes
    0.61
     })
    0.60
     shines
    0.60
    Activations Density 1.038%

    No Known Activations