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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. 8430
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    Explanations

    mentions of specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    the presence of the word "ve" in various contexts

    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
    £ı
    -0.81
    olicy
    -0.74
     GOODMAN
    -0.73
    SpaceEngineers
    -0.65
    artifacts
    -0.65
    matically
    -0.65
     administ
    -0.64
    assian
    -0.64
     resize
    -0.63
    wcs
    -0.62
    POSITIVE LOGITS
    illance
    1.19
    mber
    1.15
    ttes
    1.09
    rette
    1.07
    llers
    1.05
    ller
    1.03
    ggie
    1.03
    lla
    1.00
    tt
    0.99
    tta
    0.93
    Activations Density 0.038%

    No Known Activations