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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. 8-RES-JB
    11. 8075
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    Explanations

    specific years or time periods associated with historical or professional events

    oai_token-act-pair · gpt-3.5-turbo

    specific years or time periods related to historical events or positions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    advant
    -0.64
    Sov
    -0.62
     Declaration
    -0.62
    swer
    -0.61
     Sense
    -0.61
    elight
    -0.59
     Dys
    -0.59
    redients
    -0.59
    cro
    -0.59
    Tweet
    -0.58
    POSITIVE LOGITS
     respectively
    1.05
     depending
    0.94
     inclusive
    0.93
    depending
    0.86
     totaling
    0.83
     periods
    0.74
    SPONSORED
    0.72
    bush
    0.67
     consecut
    0.65
     averaged
    0.65
    Activations Density 0.109%

    No Known Activations