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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. 10-RES-JB
    11. 973
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    INDEX
    Explanations

    mentions of specific groups or individuals involved in conflict situations

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with militant groups and their activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    patient
    -0.70
    uces
    -0.69
     Fixes
    -0.68
    Reading
    -0.67
    inventoryQuantity
    -0.65
    data
    -0.65
    Winner
    -0.63
    CLASSIFIED
    -0.63
    tains
    -0.61
    Animation
    -0.61
    POSITIVE LOGITS
     specialize
    1.26
     allege
    1.20
     reside
    1.19
     comprise
    1.16
     prefer
    1.14
     are
    1.14
     accuse
    1.11
     have
    1.10
     believe
    1.09
     insist
    1.09
    Activations Density 0.384%

    No Known Activations