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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. 3-RES-JB
    11. 12169
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    Explanations

    references to different seasons of TV shows or series

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of seasons and episode numbers in a series

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mosp
    -0.70
    ãĥĥ
    -0.64
     quote
    -0.63
    herty
    -0.61
    inet
    -0.61
    athered
    -0.58
    past
    -0.58
    imated
    -0.58
    unct
    -0.58
    hirt
    -0.58
    POSITIVE LOGITS
    arten
    0.81
    Interstitial
    0.76
     onwards
    0.74
     Redux
    0.72
    IX
    0.70
    âĦ¢:
    0.68
     Skydragon
    0.66
    士
    0.65
     Madness
    0.64
     festivities
    0.62
    Activations Density 0.158%

    No Known Activations