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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. 8528
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    Explanations

    phrases related to opinions or conclusions, often introduced by "Well,"

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and qualifiers that express opinions or evaluations

    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
     footprint
    -0.66
     guiActiveUn
    -0.65
    FN
    -0.64
    pering
    -0.64
    tree
    -0.64
    İĭ
    -0.64
    pora
    -0.63
    adem
    -0.63
    mage
    -0.63
    QL
    -0.63
    POSITIVE LOGITS
     yeah
    1.00
     guess
    0.98
     congr
    0.89
     luckily
    0.89
     maybe
    0.87
     yes
    0.84
     fortunately
    0.84
     uh
    0.84
    yeah
    0.82
     hello
    0.82
    Activations Density 0.052%

    No Known Activations