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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. 12415
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    Explanations

    words related to intense emotional states like thrill, exhilaration, and satisfaction

    oai_token-act-pair · gpt-3.5-turbo

    terms related to excitement and satisfaction

    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
     inaccurate
    -0.66
     reorgan
    -0.65
    beard
    -0.65
     Princ
    -0.64
    llan
    -0.63
    lder
    -0.62
     temporal
    -0.60
    metal
    -0.59
     carcin
    -0.59
    pox
    -0.59
    POSITIVE LOGITS
    uri
    1.01
     thrill
    1.01
     pleasure
    0.98
    joy
    0.87
     exhilar
    0.87
    ingly
    0.86
     enjoyment
    0.83
    sticks
    0.81
    urance
    0.81
    atically
    0.81
    Activations Density 0.026%

    No Known Activations