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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. 2787
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    Explanations

    weeks and dates mentioned in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    references to specific weeks in a schedule or report

    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
    itars
    -0.69
    awei
    -0.64
    åĤ
    -0.64
    ifice
    -0.62
     Aires
    -0.61
     suspic
    -0.60
    Frameworks
    -0.59
    emort
    -0.59
     Fountain
    -0.57
     drowning
    -0.57
    POSITIVE LOGITS
    days
    1.24
    DAY
    1.10
    night
    1.03
    day
    0.90
    lies
    0.87
    ends
    0.85
    hof
    0.84
    aday
    0.79
    hoff
    0.77
    end
    0.75
    Activations Density 0.042%

    No Known Activations