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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 10948
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    INDEX
    Explanations

    phrases related to significant impacts or implications

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating significant impacts or effects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    owship
    -0.78
    Train
    -0.74
    HAEL
    -0.71
    bys
    -0.70
    abee
    -0.65
    SHIP
    -0.65
    bis
    -0.64
    lass
    -0.62
    Newsletter
    -0.62
    ahime
    -0.62
    POSITIVE LOGITS
     implications
    1.27
     effect
    1.24
     significance
    1.23
     impact
    1.22
     ramifications
    1.15
     relevance
    1.10
     reperc
    1.10
     consequences
    1.06
     repercussions
    1.06
     counterpart
    1.04
    Activations Density 0.305%

    No Known Activations