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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. 7-RES-JB
    11. 2267
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    Explanations

    phrases related to reminders or messages emphasizing a point

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to reminders and recollections

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    á
    -0.71
    inals
    -0.71
    estern
    -0.70
    inion
    -0.68
    quer
    -0.68
    hair
    -0.68
    erate
    -0.68
    iets
    -0.67
    ibaba
    -0.65
    eln
    -0.64
    POSITIVE LOGITS
     reminder
    1.10
     reminders
    1.07
     reminding
    0.80
     remind
    0.79
    reader
    0.78
    llor
    0.77
     refreshed
    0.69
     vigilance
    0.68
    é¾įå¥ij士
    0.67
    fulness
    0.65
    Activations Density 0.024%

    No Known Activations