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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
    11. 1471
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    Explanations

    phrases containing the words 'ir', usually with an emphasis on the word

    oai_token-act-pair · gpt-3.5-turbo

    terms related to items or concepts that are defective or counterfeit

    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
     guiActiveUnfocused
    -0.69
     Opera
    -0.66
    ezvous
    -0.64
     damned
    -0.62
     Gazette
    -0.62
     Franks
    -0.60
    xit
    -0.59
     Order
    -0.59
     Ou
    -0.59
     Ragnarok
    -0.58
    POSITIVE LOGITS
    relevant
    1.13
    respective
    1.09
    idium
    1.06
    rational
    1.05
    cles
    1.00
    religious
    0.97
    anian
    0.97
    respons
    0.96
    regular
    0.96
    resist
    0.94
    Activations Density 0.029%

    No Known Activations