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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. 4-RES-JB
    11. 9147
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    Explanations

    words related to commands or instructions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "let's."

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

    No Comments

    Negative Logits
    CVE
    -0.71
     Reef
    -0.65
     Source
    -0.63
    è»
    -0.63
    eur
    -0.62
     exemptions
    -0.61
     causes
    -0.59
     ROM
    -0.59
     barriers
    -0.59
     Flavoring
    -0.59
    POSITIVE LOGITS
    wered
    1.05
    kaya
    0.86
    ername
    0.85
    itate
    0.84
    nyder
    0.84
    achu
    0.83
    pecially
    0.82
    ween
    0.82
    fw
    0.80
    ettlement
    0.80
    Activations Density 0.027%

    No Known Activations