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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. 2012
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    INDEX
    Explanations

    Adjectives that describe vulnerability or delicacy

    oai_token-act-pair · gpt-3.5-turbo

    references to fragility or brittleness in various contexts

    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
    atography
    -0.80
    orthy
    -0.73
    itation
    -0.71
    oration
    -0.71
    OTO
    -0.71
    alach
    -0.70
     Hust
    -0.70
    ocations
    -0.69
    roma
    -0.69
    andowski
    -0.68
    POSITIVE LOGITS
     fragile
    1.02
     adolesc
    0.92
     brittle
    0.90
    emate
    0.80
     defences
    0.75
    adoes
    0.75
     reefs
    0.71
     cohesion
    0.70
     masculinity
    0.70
     stability
    0.69
    Activations Density 0.016%

    No Known Activations