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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. 15795
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    Explanations

    people's names or words related to interaction with people's names

    oai_token-act-pair · gpt-3.5-turbo

    terms related to legal and judicial contexts

    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
    RM
    -0.70
    Tor
    -0.67
     Angels
    -0.65
    BIP
    -0.64
    Mos
    -0.63
     resil
    -0.63
    PART
    -0.63
     Unle
    -0.62
    ETS
    -0.62
     Blaz
    -0.62
    POSITIVE LOGITS
    reet
    1.31
    ype
    1.08
    ronics
    1.06
    eering
    0.99
    ing
    0.98
    ty
    0.97
    ramer
    0.91
    tery
    0.90
    emort
    0.90
    rial
    0.89
    Activations Density 0.011%

    No Known Activations