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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. 10-RES-JB
    11. 24307
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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 @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stage
    -0.74
    selves
    -0.68
    stood
    -0.60
    etheless
    -0.59
     Slate
    -0.59
    grounds
    -0.58
    lift
    -0.56
    ashtra
    -0.56
     sled
    -0.56
    lined
    -0.55
    POSITIVE LOGITS
    ences
    1.19
    encia
    1.11
    enza
    1.07
    ennes
    1.07
    enne
    1.07
    ère
    1.04
    eno
    1.02
    otti
    1.00
    ardo
    0.98
    pe
    0.96
    Activations Density 0.029%

    No Known Activations