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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. 9-RES-JB
    11. 20733
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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 @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     beforehand
    -0.59
    herer
    -0.58
    .*
    -0.58
    *.
    -0.57
    /"
    -0.56
     besides
    -0.56
     alongside
    -0.55
     whenever
    -0.54
    -$
    -0.54
    aria
    -0.53
    POSITIVE LOGITS
     foregoing
    0.80
     Clintons
    0.74
    orem
    0.66
     Houth
    0.65
     same
    0.65
     smallest
    0.65
    oret
    0.65
    ses
    0.65
    resa
    0.64
     remainder
    0.64
    Activations Density 0.729%

    No Known Activations