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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. 1-RES-JB
    11. 21805
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    Explanations

    strong or intensive words, specifically those related to power or dominance

    oai_token-act-pair · gpt-3.5-turbo

    words related to severity or intensification

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cosponsors
    -0.64
     CPC
    -0.63
    iop
    -0.62
    cube
    -0.62
     Dragonbound
    -0.62
     UID
    -0.62
    spring
    -0.61
    obo
    -0.60
    nexus
    -0.60
    ISO
    -0.58
    POSITIVE LOGITS
    vere
    1.59
    ignt
    1.12
    ndum
    1.02
    ignty
    0.87
    ldom
    0.85
     satell
    0.81
    vous
    0.80
    chev
    0.79
    mber
    0.79
     volunte
    0.77
    Activations Density 0.003%

    No Known Activations