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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. 15262
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    Explanations

    negative words or phrases describing various undesirable situations or conditions

    oai_token-act-pair · gpt-3.5-turbo

    negative assessments or descriptors of situations or experiences

    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
    Not in Any Lists

    No Comments

    Negative Logits
    sonian
    -0.89
    çīĪ
    -0.81
    verning
    -0.76
     confidently
    -0.76
    racuse
    -0.73
    phasis
    -0.73
    ICLE
    -0.72
    olars
    -0.72
    uity
    -0.71
    omething
    -0.71
    POSITIVE LOGITS
     Karma
    0.83
     Worse
    0.80
     inflicted
    0.75
     :(
    0.74
     worsened
    0.72
     worse
    0.71
     karma
    0.71
     plague
    0.70
     Worst
    0.70
     Clown
    0.69
    Activations Density 0.503%

    No Known Activations