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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. 355
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    INDEX
    Explanations

    phrases related to energy and its various forms and processes

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to energy storage and conversion

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Mock
    -0.73
    FN
    -0.68
    alid
    -0.67
    pkg
    -0.65
    ylum
    -0.65
    oths
    -0.64
    orah
    -0.64
     anniversary
    -0.63
     titles
    -0.63
    onym
    -0.62
    POSITIVE LOGITS
    absor
    1.10
     combustion
    1.07
     emitted
    0.95
    ioxide
    0.94
     gases
    0.92
     pulses
    0.90
     absorbed
    0.87
     absor
    0.86
     electroly
    0.85
     compressor
    0.85
    Activations Density 0.631%

    No Known Activations