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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. 569
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    Explanations

    phrases related to advantages and disadvantages or trade-offs

    oai_token-act-pair · gpt-3.5-turbo

    terms related to drawbacks and negative consequences

    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
    NRS
    -0.71
    ANN
    -0.69
    hens
    -0.69
    raphic
    -0.67
    ocal
    -0.66
     wills
    -0.64
    æĿ
    -0.62
     clitor
    -0.62
    achus
    -0.60
    utenberg
    -0.60
    POSITIVE LOGITS
     drawback
    0.87
     downside
    0.85
     nausea
    0.80
     inherent
    0.73
     avoidance
    0.71
     worsened
    0.70
     annoyance
    0.70
     aversion
    0.69
     complications
    0.68
     complication
    0.68
    Activations Density 0.165%

    No Known Activations