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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. 2-RES-JB
    11. 5251
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    Explanations

    locations or settings characterized by dim lighting

    oai_token-act-pair · gpt-3.5-turbo

    terms related to dimness or low light conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OUP
    -0.82
    RAFT
    -0.82
    ETF
    -0.78
    CB
    -0.77
    OAD
    -0.75
    AIN
    -0.75
     Occupations
    -0.75
    OHN
    -0.73
    HOME
    -0.73
    DK
    -0.72
    POSITIVE LOGITS
    ethy
    1.13
    ming
    1.12
     dim
    1.10
    inished
    1.07
    mers
    1.05
    ples
    1.05
     bulb
    1.00
    mable
    0.95
    mer
    0.92
     bulbs
    0.92
    Activations Density 0.007%

    No Known Activations