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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. 7322
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    Explanations

    proper nouns related to locations or organizations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names of places or entities

    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
    ord
    -0.84
    ks
    -0.83
    key
    -0.80
    ibel
    -0.75
    keys
    -0.74
    ax
    -0.71
    ffen
    -0.71
    dn
    -0.70
    ads
    -0.70
    roman
    -0.70
    POSITIVE LOGITS
    FORM
    1.41
    ISH
    1.38
    IFIED
    1.33
    ER
    1.31
    LAND
    1.29
    MAN
    1.28
    FIELD
    1.28
    OUT
    1.28
    VILLE
    1.27
    ING
    1.26
    Activations Density 0.089%

    No Known Activations