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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. 2-RES-JB
    11. 4125
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    INDEX
    Explanations

    scientific or technical terms, such as geological periods and financial products

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to well-known films and characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hips
    -0.80
    arettes
    -0.78
    etting
    -0.73
    zzle
    -0.73
    ndra
    -0.70
    resso
    -0.70
    sheet
    -0.70
    isSpecialOrderable
    -0.70
    ppard
    -0.69
    redients
    -0.69
    POSITIVE LOGITS
     Jurassic
    1.27
    assic
    1.09
    aceous
    0.86
     Park
    0.81
    osaurs
    0.81
    osaurus
    0.66
    Tur
    0.65
    ãĥ©ãĥ³
    0.65
     Parks
    0.65
     Throne
    0.64
    Activations Density 0.016%

    No Known Activations