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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. 12-RES-JB
    11. 2897
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    INDEX
    Explanations

    verbs followed by a 'to' infinitive construction

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    phrases involving the infinitive form "to," indicating actions or intentions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Palest
    -0.91
    PDATE
    -0.81
    EStream
    -0.78
    Magikarp
    -0.77
    ò
    -0.70
    Downloadha
    -0.70
    ternity
    -0.70
     Marino
    -0.70
    ñ
    -0.69
    ¿½
    -0.69
    POSITIVE LOGITS
     realise
    1.10
     resemble
    1.08
     realize
    1.05
     formulate
    1.04
     crumble
    1.01
     dismantle
    1.00
     unravel
    1.00
     wonder
    1.00
     fray
    0.98
     accumulate
    0.98
    Activations Density 0.087%

    No Known Activations