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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. 19397
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    Explanations

    words related to expressing opinions, beliefs, or actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating claims or reports about various subjects

    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
    ancial
    -0.63
     Athletics
    -0.61
     Patriarch
    -0.59
     Roundup
    -0.59
     Directory
    -0.58
    oÄŁan
    -0.57
    opoly
    -0.56
    Maps
    -0.56
    these
    -0.56
     carriage
    -0.55
    POSITIVE LOGITS
    horn
    0.72
    apt
    0.67
     outright
    0.67
    ilers
    0.67
    ieri
    0.66
    ivo
    0.64
    orah
    0.63
    hus
    0.63
    conom
    0.63
    mol
    0.63
    Activations Density 0.482%

    No Known Activations