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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. 2-RES-JB
    6. 8764
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    Explanations

    terms related to different types of fish, particularly salmon and trout

    oai_token-act-pair · gpt-3.5-turbo

    references to different types of fish, particularly salmon

    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
    ELD
    -0.88
    =-=-=-=-
    -0.78
    SPONSORED
    -0.72
    Eng
    -0.70
    ++++++++
    -0.67
    EAR
    -0.66
     Extrem
    -0.66
    ++++++++++++++++
    -0.65
    Benz
    -0.65
    NEY
    -0.64
    POSITIVE LOGITS
     salmon
    1.28
     trout
    1.05
     Salmon
    0.88
    icum
    0.87
    ibaba
    0.85
     mosqu
    0.84
    bowl
    0.81
    icans
    0.78
    weed
    0.75
     tuna
    0.74
    Activations Density 0.007%

    No Known Activations