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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. 13773
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    INDEX
    Explanations

    instances of words related to communication or connection

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to interaction and engagement

    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
    zn
    -0.78
    peria
    -0.75
    ft
    -0.71
    prus
    -0.71
    GE
    -0.69
    ciples
    -0.69
    cott
    -0.68
    aft
    -0.67
    haps
    -0.67
    zik
    -0.66
    POSITIVE LOGITS
     interactions
    0.97
    ivity
    0.95
    uate
    0.88
     interaction
    0.87
    ually
    0.87
    iences
    0.85
    ively
    0.84
    ivating
    0.81
    ioned
    0.79
    halla
    0.78
    Activations Density 0.019%

    No Known Activations