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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. 4-RES-JB
    11. 24320
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    INDEX
    Explanations

    dates or deadlines mentioned in texts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "will" indicating future events or intentions

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

    No Comments

    Negative Logits
    amped
    -0.71
    reality
    -0.62
    76561
    -0.62
    ruciating
    -0.60
     abstraction
    -0.60
    Rex
    -0.60
     Romeo
    -0.59
    efeated
    -0.58
    existence
    -0.58
    Newsletter
    -0.58
    POSITIVE LOGITS
     be
    1.11
     doubtless
    1.03
     undoubtedly
    1.01
     continue
    0.97
     likely
    0.97
     definitely
    0.96
     probably
    0.95
     surely
    0.94
     soon
    0.92
     gladly
    0.92
    Activations Density 0.211%

    No Known Activations