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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. 1595
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    Explanations

    phrases indicating a current situation or condition

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "experiencing."

    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
    talk
    -0.85
    cmp
    -0.83
    tan
    -0.76
    pel
    -0.76
    fet
    -0.73
    bag
    -0.70
    trap
    -0.68
    dt
    -0.68
    dy
    -0.67
    bye
    -0.66
    POSITIVE LOGITS
     homelessness
    0.84
    ADRA
    0.76
     experien
    0.75
     experiences
    0.73
    uated
    0.73
    ASED
    0.71
     difficulties
    0.69
    uates
    0.68
     "$:/
    0.67
    ONES
    0.67
    Activations Density 0.024%

    No Known Activations