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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. 2-RES-JB
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    Explanations

    the word "tin" with a preference for instances with an activation value of 9 or higher

    oai_token-act-pair · gpt-3.5-turbo

    references to tin in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enance
    -0.72
     Vector
    -0.68
    Variable
    -0.68
     SYSTEM
    -0.67
     VID
    -0.67
     Annotations
    -0.66
     Continued
    -0.64
     Seraph
    -0.63
    INAL
    -0.63
     Administ
    -0.62
    POSITIVE LOGITS
    kered
    1.11
    ned
    1.06
    uous
    0.97
     oxide
    0.95
     foil
    0.94
    oshenko
    0.94
    sel
    0.91
    pole
    0.91
    oco
    0.88
    cup
    0.85
    Activations Density 0.011%

    No Known Activations