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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. 3-RES-JB
    11. 4128
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    INDEX
    Explanations

    phrases indicating potential future events or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    the word "could" as an indicator of potential outcomes or possibilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Maker
    -0.74
    core
    -0.70
    orno
    -0.68
    washer
    -0.65
     Yards
    -0.61
    boy
    -0.60
    geist
    -0.60
    oki
    -0.59
    backer
    -0.59
    cloth
    -0.59
    POSITIVE LOGITS
     feas
    1.15
     conce
    1.03
    berra
    1.00
     be
    0.96
    adian
    0.96
     conclud
    0.94
     foresee
    0.93
     hypot
    0.91
     theoretically
    0.90
     potentially
    0.90
    Activations Density 0.085%

    No Known Activations