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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. 0-RES-JB
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    Explanations

    the term "shore"

    oai_token-act-pair · gpt-3.5-turbo

    references to offshore locations or activities

    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
     badges
    -0.70
     Zed
    -0.63
     award
    -0.63
     Abraham
    -0.63
     error
    -0.61
     Orig
    -0.61
     IQ
    -0.61
    uming
    -0.60
     karma
    -0.60
     abbrevi
    -0.59
    POSITIVE LOGITS
    shore
    4.57
     shore
    1.43
     offshore
    1.42
    sea
    1.11
    xon
    1.05
    sighted
    1.03
     Shore
    1.03
    sets
    1.03
     coastline
    1.02
    ships
    1.01
    Activations Density 0.018%

    No Known Activations