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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. 11-RES-JB
    11. 22024
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    Explanations

    phrases related to actions or events that involve high impact or importance

    oai_token-act-pair · gpt-3.5-turbo

    references to significant or impactful events or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cunningham
    -0.94
     diapers
    -0.87
     Cree
    -0.85
    uca
    -0.85
    cup
    -0.84
    ĸļ
    -0.83
    Catal
    -0.79
    ublic
    -0.77
    ylum
    -0.75
     Rainbow
    -0.74
    POSITIVE LOGITS
     strike
    1.66
     strikes
    1.53
     hit
    1.52
     attack
    1.48
     targets
    1.47
     hits
    1.46
     target
    1.43
     Hit
    1.43
    Hit
    1.42
     HIT
    1.41
    Activations Density 0.273%

    No Known Activations