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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
    11. 7645
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to loss or defeat

    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
    rete
    -0.66
    DOC
    -0.65
    azon
    -0.65
     guiActiveUnfocused
    -0.65
    Catalog
    -0.64
    thouse
    -0.62
     Dunham
    -0.61
     Rye
    -0.60
    rian
    -0.60
    onne
    -0.60
    POSITIVE LOGITS
    osing
    0.85
    osed
    0.81
    dinand
    0.78
    rower
    0.73
    ubs
    0.73
    anasia
    0.71
    apons
    0.70
    merga
    0.69
    ipal
    0.69
    autions
    0.69
    Activations Density 0.010%

    No Known Activations