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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. 9-RES-JB
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    INDEX
    Explanations

    instances of the word "Shark"

    oai_token-act-pair · gpt-3.5-turbo

    references to sharks and shark-related topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ISION
    -0.72
    haar
    -0.71
    ollower
    -0.69
    åĮ
    -0.68
    hurst
    -0.67
     Hemp
    -0.67
    phis
    -0.67
    icably
    -0.66
    icable
    -0.66
     Parenthood
    -0.65
    POSITIVE LOGITS
    ulic
    0.85
    tif
    0.78
     Sharks
    0.77
    vana
    0.76
    acing
    0.75
    inf
    0.73
    vati
    0.73
     fins
    0.72
    izont
    0.70
    igans
    0.70
    Activations Density 0.079%

    No Known Activations