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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. 1220
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    Explanations

    plurals of past tense verbs

    oai_token-act-pair · gpt-3.5-turbo

    textual references to previously mentioned information or notes

    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
    throp
    -0.71
    thro
    -0.69
    kefeller
    -0.64
    guided
    -0.63
    urated
    -0.63
    ews
    -0.62
    locks
    -0.62
     lasted
    -0.61
    wat
    -0.60
    ufact
    -0.59
    POSITIVE LOGITS
     herein
    0.83
     footnote
    0.80
    mentioned
    0.78
     therein
    0.77
     ESV
    0.75
     above
    0.74
    above
    0.73
    below
    0.71
     brackets
    0.71
    arak
    0.71
    Activations Density 0.298%

    No Known Activations