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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. 4-RES-JB
    11. 2422
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    INDEX
    Explanations

    negative statements about a lack of action or capability

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a lack of positive action or effectiveness

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

    No Comments

    Negative Logits
    )=(
    -0.77
     Dise
    -0.74
     Methods
    -0.70
    wagen
    -0.69
    Software
    -0.68
     Azerb
    -0.68
     Handling
    -0.67
     Replacement
    -0.67
    Tai
    -0.66
    Reviewer
    -0.66
    POSITIVE LOGITS
    ppel
    1.16
    omsday
    0.99
    oms
    0.96
    herty
    0.93
    ozy
    0.91
    berman
    0.90
    omers
    0.88
    pez
    0.85
    oway
    0.83
     nothing
    0.82
    Activations Density 0.150%

    No Known Activations