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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
    11. 8012
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    Explanations

    phrases related to large quantities or events

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the word "huge" 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
    merce
    -0.84
    netflix
    -0.65
     illum
    -0.62
    nesota
    -0.62
    puter
    -0.62
    ISION
    -0.62
    pring
    -0.60
    sense
    -0.59
    processor
    -0.59
     pleased
    -0.58
    POSITIVE LOGITS
    uge
    1.22
    glers
    0.93
    aten
    0.82
    llo
    0.82
    UGE
    0.80
    uese
    0.73
    gery
    0.73
    gest
    0.72
    ãĥ¼ãĥĨãĤ£
    0.72
    arte
    0.71
    Activations Density 0.007%

    No Known Activations