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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. 8-RES-JB
    11. 8157
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    Explanations

    adjectives related to the manner or style of communication

    oai_token-act-pair · gpt-3.5-turbo

    terms related to clarity and caution in communication

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pend
    -0.65
    tein
    -0.61
     Cum
    -0.61
    flat
    -0.60
    IRE
    -0.60
    Stand
    -0.60
     Bund
    -0.59
     unexpl
    -0.59
     vanishing
    -0.58
    Else
    -0.58
    POSITIVE LOGITS
    ulously
    0.97
     enough
    0.93
     ABOUT
    0.84
     about
    0.83
     regarding
    0.78
    enough
    0.73
     defensively
    0.72
    looking
    0.71
    terday
    0.70
    aneously
    0.70
    Activations Density 0.272%

    No Known Activations