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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. 21362
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    INDEX
    Explanations

    phrases indicating anticipation or expectation

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing anticipation or eagerness for future events

    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
    roy
    -0.60
     household
    -0.59
     delinqu
    -0.59
    LOD
    -0.58
     misdem
    -0.55
     manslaughter
    -0.55
     guiName
    -0.54
     Reporting
    -0.53
    fts
    -0.53
     Advertisement
    -0.52
    POSITIVE LOGITS
     forward
    1.32
    forward
    1.03
     forwards
    0.98
     Forward
    0.96
    Forward
    0.88
     eagerly
    0.74
    aciously
    0.74
     favorably
    0.73
     toward
    0.71
    aye
    0.70
    Activations Density 0.038%

    No Known Activations