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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. 4162
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    Explanations

    social media-related activities and interactions

    oai_token-act-pair · gpt-3.5-turbo

    social media engagement and interactions

    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
     respectively
    -0.77
    Their
    -0.73
     Their
    -0.66
     deems
    -0.66
    their
    -0.64
     themselves
    -0.63
    interstitial
    -0.62
     hazardous
    -0.60
    .''.
    -0.59
     their
    -0.59
    POSITIVE LOGITS
     myself
    1.33
     my
    0.86
    swer
    0.73
    arij
    0.69
     spoilers
    0.65
     reddit
    0.65
    poke
    0.65
     rabbit
    0.65
    hack
    0.62
    nesday
    0.62
    Activations Density 1.149%

    No Known Activations