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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
    11. 4779
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    Explanations

    phrases related to material or natural resources, particularly reserves

    oai_token-act-pair · gpt-3.5-turbo

    references to natural or resource reserves

    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
    Jess
    -0.76
     Jess
    -0.69
    Hart
    -0.69
    ilogy
    -0.69
    Sym
    -0.67
     Sym
    -0.67
     intersection
    -0.66
    gent
    -0.64
    Adams
    -0.64
    å½
    -0.64
    POSITIVE LOGITS
     reserves
    4.18
     reserve
    2.63
     Reserve
    1.69
     reserv
    1.51
     substitutes
    1.38
     deposits
    1.35
    erves
    1.20
     reservations
    1.13
     reservoirs
    1.09
     holdings
    1.07
    Activations Density 0.019%

    No Known Activations