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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. 12040
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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 @ 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
    vez
    -0.74
    ouver
    -0.63
    ĨĴ
    -0.62
    itol
    -0.61
     è£ıè
    -0.59
    oga
    -0.58
    ira
    -0.57
    estone
    -0.56
    jured
    -0.55
    ocial
    -0.55
    POSITIVE LOGITS
     respectively
    1.84
     whichever
    1.11
     etc
    1.10
    depending
    0.98
     depending
    0.87
     culminating
    0.87
    etc
    0.84
     including
    0.81
     Leilan
    0.77
     accordingly
    0.77
    Activations Density 0.548%

    No Known Activations