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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. 3-RES-JB
    11. 3841
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    Explanations

    words related to emphasizing or pointing out specific elements within a context

    oai_token-act-pair · gpt-3.5-turbo

    the word "particularly" and its occurrences throughout the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ocene
    -0.71
    URE
    -0.71
    ÅĤ
    -0.70
    osal
    -0.69
    hao
    -0.68
    lyn
    -0.66
     Chao
    -0.65
    inka
    -0.65
     Laos
    -0.64
    velt
    -0.64
    POSITIVE LOGITS
     identifiable
    0.86
     suited
    0.85
     noteworthy
    0.84
     tailored
    0.84
     susceptible
    0.83
    gradient
    0.82
     advantageous
    0.81
     benefited
    0.81
    accompanied
    0.80
     targeted
    0.75
    Activations Density 0.021%

    No Known Activations