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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. 7-RES-JB
    11. 8876
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    Explanations

    phrases indicating consequences of actions or events

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "resulted in" followed by significant consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wine
    -0.65
     nurture
    -0.64
    lass
    -0.64
    lite
    -0.62
    dated
    -0.62
    track
    -0.61
     topped
    -0.59
    tenance
    -0.59
    ortun
    -0.57
    ith
    -0.57
    POSITIVE LOGITS
    geoning
    0.74
    escap
    0.68
    effic
    0.68
    clusions
    0.67
    efficiency
    0.66
    illions
    0.65
    animate
    0.64
    ãĥĩãĤ£
    0.64
     bloodshed
    0.64
     fewer
    0.63
    Activations Density 0.038%

    No Known Activations