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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. 18758
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    Explanations

    words related to opinions and perspectives such as "regard", "view", "consider", "characterizing"

    oai_token-act-pair · gpt-3.5-turbo

    words related to perception and opinion

    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
    osure
    -0.70
    isoft
    -0.69
     crib
    -0.68
    ammy
    -0.67
    eper
    -0.65
    iasm
    -0.65
    bda
    -0.64
    iae
    -0.64
    ante
    -0.62
    depth
    -0.61
    POSITIVE LOGITS
    phas
    1.01
    enance
    0.93
     themselves
    0.85
     it
    0.83
     ourselves
    0.82
     them
    0.81
     him
    0.79
     himself
    0.73
     oneself
    0.73
    pointers
    0.72
    Activations Density 0.202%

    No Known Activations