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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 4113
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    Explanations

    specific mentions of the acronym "DS" at different activation levels

    oai_token-act-pair · gpt-3.5-turbo

    references to "DS" and prominent figures, especially in discussions about punditry

    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
     torches
    -0.80
     Scotia
    -0.79
    ting
    -0.72
     Australians
    -0.71
    aneous
    -0.70
    rals
    -0.68
     vessels
    -0.66
     waters
    -0.66
    tering
    -0.65
     captcha
    -0.64
    POSITIVE LOGITS
    ense
    0.87
    ocial
    0.84
    ql
    0.83
    ocrates
    0.82
    etics
    0.80
    ilon
    0.80
    ét
    0.80
    imon
    0.78
    kers
    0.76
    pod
    0.76
    Activations Density 0.021%

    No Known Activations