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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. 23875
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    INDEX
    Explanations

    phrases related to determination and strong statements of commitment

    oai_token-act-pair · gpt-3.5-turbo

    modal verbs indicating future actions or intentions

    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
    eatured
    -0.73
    Newsletter
    -0.69
    amped
    -0.66
    Reporting
    -0.64
    Methods
    -0.64
    ocular
    -0.64
     Modified
    -0.64
    Pie
    -0.64
     Theme
    -0.61
    cond
    -0.61
    POSITIVE LOGITS
     gladly
    1.15
     be
    1.10
     surely
    1.06
     doubtless
    1.05
     undoubtedly
    1.03
     inevitably
    1.03
     probably
    1.01
     likely
    0.99
     eventually
    0.98
     never
    0.98
    Activations Density 0.215%

    No Known Activations