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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. 1-RES-JB
    11. 7558
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to headquarters and operational opportunities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    udder
    -0.74
    ozo
    -0.74
    keleton
    -0.73
    olph
    -0.71
    atives
    -0.69
     Zup
    -0.68
    olas
    -0.67
    opathic
    -0.67
    hip
    -0.66
    Interstitial
    -0.65
    POSITIVE LOGITS
    judicial
    0.75
     HQ
    0.74
    yrinth
    0.74
     Instr
    0.72
    sf
    0.71
    cedented
    0.67
    ropri
    0.66
    washer
    0.65
    site
    0.64
    ontent
    0.64
    Activations Density 0.034%

    No Known Activations