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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. 3605
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    INDEX
    Explanations

    references to long-term planning or strategic thinking

    oai_token-act-pair · gpt-3.5-turbo

    statements or phrases about future goals and aspirations

    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
    avis
    -0.84
    ãģį
    -0.80
    atern
    -0.73
    uddin
    -0.71
    cold
    -0.68
    Ton
    -0.67
    ieri
    -0.66
    pmwiki
    -0.65
    abee
    -0.64
    Case
    -0.64
    POSITIVE LOGITS
    aries
    1.15
     vision
    1.03
     visions
    0.88
     obs
    0.82
     goggles
    0.79
    eers
    0.79
     Vision
    0.77
    ary
    0.74
    naire
    0.73
     visionary
    0.73
    Activations Density 0.025%

    No Known Activations