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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. 17999
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    Explanations

    details or detailed information

    oai_token-act-pair · gpt-3.5-turbo

    references to detailed information and descriptions

    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
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    Negative Logits
    aden
    -0.80
    oi
    -0.74
    oster
    -0.73
    orea
    -0.73
    corn
    -0.70
    gate
    -0.70
    earth
    -0.69
    encrypted
    -0.69
    ques
    -0.69
    eligible
    -0.68
    POSITIVE LOGITS
     detail
    1.09
     descriptions
    1.05
     details
    0.94
     instructions
    0.93
     description
    0.93
     information
    0.86
     deline
    0.85
    lly
    0.84
     depiction
    0.83
     explanations
    0.83
    Activations Density 0.043%

    No Known Activations