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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

    words related to capturing or freeing killer whales

    oai_token-act-pair · gpt-3.5-turbo

    references to killer whales

    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
     Rez
    -0.79
    rip
    -0.77
     resent
    -0.72
     Counter
    -0.69
    rep
    -0.68
     Romanian
    -0.65
     Des
    -0.64
     IPS
    -0.64
    bed
    -0.64
    ension
    -0.64
    POSITIVE LOGITS
     whale
    3.93
     whales
    3.85
     Whale
    3.05
     dolphin
    2.01
     dolphins
    2.00
     sharks
    1.72
     shark
    1.69
     hump
    1.49
     squid
    1.40
     tuna
    1.35
    Activations Density 0.022%

    No Known Activations