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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. 9-RES-JB
    11. 8756
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    INDEX
    Explanations

    phrases describing situations or events

    oai_token-act-pair · gpt-3.5-turbo

    repeated references to specific situations or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     classes
    -0.68
    */(
    -0.62
    earchers
    -0.61
     pods
    -0.60
    aturdays
    -0.59
     sources
    -0.58
     intermedi
    -0.57
    ourse
    -0.56
     acknowled
    -0.56
     separately
    -0.55
    POSITIVE LOGITS
     ours
    1.66
     hers
    1.40
     yours
    1.37
     theirs
    1.32
     mine
    1.09
    lihood
    1.07
     this
    0.88
    liest
    0.76
     THESE
    0.75
    these
    0.75
    Activations Density 0.171%

    No Known Activations