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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. 6126
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    Explanations

    words related to things being done easily or with minimal effort

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to simplicity or lack of difficulty

    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
    orp
    -0.69
    clusions
    -0.68
    iverse
    -0.67
    enegger
    -0.67
    ortium
    -0.67
    liam
    -0.66
    nesium
    -0.66
    ifiers
    -0.64
    iversity
    -0.63
    inosaur
    -0.63
    POSITIVE LOGITS
     ease
    1.06
    liness
    0.93
     easing
    0.89
     relief
    0.79
    ilitation
    0.77
     relie
    0.77
     "$:/
    0.75
    terness
    0.75
    joy
    0.75
     familiarity
    0.75
    Activations Density 0.011%

    No Known Activations