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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. 7-RES-JB
    11. 18716
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    Explanations

    descriptions of specific items or products

    oai_token-act-pair · gpt-3.5-turbo

    sentences or phrases that assert the existence or characteristics of something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uld
    -0.66
    osate
    -0.63
     encounters
    -0.63
    inav
    -0.62
    ourt
    -0.62
    sburg
    -0.61
    iates
    -0.61
    udeau
    -0.61
     stake
    -0.61
    atives
    -0.60
    POSITIVE LOGITS
     definitely
    1.11
    nt
    0.99
    senal
    0.98
     currently
    0.98
     basically
    0.98
     supposed
    0.94
     slated
    0.91
     hereby
    0.91
    ometric
    0.91
    rael
    0.90
    Activations Density 0.439%

    No Known Activations