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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. 8-RES-JB
    11. 2120
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    Explanations

    words related to segmented parts or divisions within a context

    oai_token-act-pair · gpt-3.5-turbo

    references to different segments or categories within a broader context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     lett
    -0.75
    CHA
    -0.72
     opio
    -0.69
    ullivan
    -0.65
     realism
    -0.62
     fists
    -0.61
     brink
    -0.60
    stroke
    -0.60
     childbirth
    -0.58
     mother
    -0.57
    POSITIVE LOGITS
    ation
    1.16
    ated
    1.02
    ed
    1.00
    naire
    0.98
    arily
    0.97
    ational
    0.90
    arse
    0.87
    nel
    0.85
    als
    0.85
    eston
    0.83
    Activations Density 0.036%

    No Known Activations