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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. 2-RES-JB
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    Explanations

    the word "medium" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to mediums in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    èĥ
    -0.75
    IGHTS
    -0.72
     Merch
    -0.71
    çľ
    -0.70
    ä½ľ
    -0.69
    GBT
    -0.68
     Tour
    -0.68
     Masquerade
    -0.68
    âĨij
    -0.67
    Discussion
    -0.66
    POSITIVE LOGITS
     medium
    1.02
    medium
    0.94
     sized
    0.91
    ship
    0.86
    ature
    0.81
    weights
    0.80
    weight
    0.77
    ĺħ
    0.73
    -,
    0.71
    pmwiki
    0.69
    Activations Density 0.005%

    No Known Activations