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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. 21951
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    Explanations

    locations and events related to conflict and controversy

    oai_token-act-pair · gpt-3.5-turbo

    references to notable films and cultural icons, particularly in contexts involving tragedy or social commentary

    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
    VALUE
    -0.55
    ificant
    -0.54
    å¦
    -0.54
    Vari
    -0.53
    aum
    -0.51
    é¾
    -0.50
     explan
    -0.50
    etheless
    -0.50
    stood
    -0.50
    Topics
    -0.49
    POSITIVE LOGITS
     etc
    0.72
     someday
    0.55
     or
    0.55
     Doodle
    0.53
     bikini
    0.53
    _.
    0.53
     wifi
    0.52
     fame
    0.51
     Shutterstock
    0.51
     ("
    0.51
    Activations Density 1.002%

    No Known Activations