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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. 10067
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    Explanations

    terms related to election results and popular votes

    oai_token-act-pair · gpt-3.5-turbo

    references to popularity in various contexts

    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
    thur
    -0.84
    xual
    -0.80
    agher
    -0.80
     Kear
    -0.74
    abetic
    -0.72
     Aviv
    -0.71
    =-=-
    -0.69
    aped
    -0.67
    ilipp
    -0.67
     Bezos
    -0.67
    POSITIVE LOGITS
    ized
    0.88
    ity
    0.86
    izing
    0.83
    isations
    0.77
    popular
    0.76
    ised
    0.76
     enterprises
    0.74
    iating
    0.72
    izations
    0.71
    iated
    0.71
    Activations Density 0.014%

    No Known Activations