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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. 9-RES-JB
    6. 11693
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    Explanations

    numerical values related to various metrics and possibly financial data

    oai_token-act-pair · gpt-3.5-turbo

    numeric values and related financial or statistical data

    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
     encount
    -0.92
     proble
    -0.88
     explan
    -0.80
     therap
    -0.80
    ilogy
    -0.77
    cially
    -0.75
     showc
    -0.72
    atonin
    -0.71
    SPONSORED
    -0.70
     neighb
    -0.69
    POSITIVE LOGITS
     0
    1.10
     336
    1.08
     157
    1.06
     176
    1.06
     163
    1.05
     175
    1.04
     177
    1.04
     298
    1.03
     136
    1.03
     37
    1.03
    Activations Density 0.168%

    No Known Activations