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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. 6-RES-JB
    11. 17373
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    Explanations

    phrases indicating comprehension or empathy

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing comprehension or acknowledgment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    rock
    -0.80
    ifact
    -0.77
    rouse
    -0.75
    gins
    -0.70
    inse
    -0.69
    etheus
    -0.67
    etry
    -0.66
    Ranked
    -0.64
    rentice
    -0.63
    ibur
    -0.63
    POSITIVE LOGITS
     MEP
    0.69
    ances
    0.68
    displayText
    0.65
     LF
    0.65
     Duc
    0.64
     sshd
    0.64
    soType
    0.63
     ADC
    0.63
     Norwich
    0.61
    ĺħ
    0.61
    Activations Density 0.047%

    No Known Activations