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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. 10-RES-JB
    11. 7935
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    Explanations

    words related to events happening after a certain point or action

    oai_token-act-pair · gpt-3.5-turbo

    the term "after" in various contexts and situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     constitu
    -0.80
    ASED
    -0.65
    ãĥ³ãĤ¸
    -0.65
    ASE
    -0.63
    oaded
    -0.63
    esian
    -0.62
    aird
    -0.61
    aez
    -0.61
    uart
    -0.60
    orically
    -0.59
    POSITIVE LOGITS
    noon
    1.36
    market
    1.23
    math
    1.17
    thought
    1.16
    though
    1.09
    shock
    1.04
    burn
    1.04
    wards
    1.01
    word
    1.00
    gl
    0.98
    Activations Density 0.075%

    No Known Activations