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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. 7856
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    Explanations

    phrases related to long-term considerations or consequences

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to long-term and short-term outcomes

    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
    othing
    -0.73
    yne
    -0.71
    MSN
    -0.68
     Bleach
    -0.68
    ymes
    -0.67
     Flavoring
    -0.64
    ofer
    -0.64
    utenberg
    -0.64
    zo
    -0.63
    atche
    -0.63
    POSITIVE LOGITS
     term
    0.98
    term
    0.97
     aftermath
    0.94
     absence
    0.90
     afterlife
    0.89
     confines
    0.88
     timeframe
    0.83
     haul
    0.80
     vicinity
    0.79
     run
    0.79
    Activations Density 0.058%

    No Known Activations