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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 21712
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to visual imagery and social media engagement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     promul
    -0.73
    nown
    -0.67
     examinations
    -0.66
    20439
    -0.64
    ocry
    -0.62
    geries
    -0.61
     contemplated
    -0.60
     athlet
    -0.60
    gow
    -0.59
    SPONSORED
    -0.59
    POSITIVE LOGITS
     +
    3.38
    +
    2.14
     +#
    1.91
     ++
    1.68
     plus
    1.58
     +=
    1.55
     +++
    1.52
     "+
    1.50
    +.
    1.49
    )+
    1.48
    Activations Density 0.012%

    No Known Activations