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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 22820
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    INDEX
    Explanations

    conjunctions indicating contrast or exception

    oai_token-act-pair · gpt-3.5-turbo

    discourse markers that introduce contrasting information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     segment
    -0.77
     Cathedral
    -0.60
     oriented
    -0.59
     dedicated
    -0.57
     mound
    -0.57
     perceived
    -0.57
     trad
    -0.56
     segments
    -0.56
     commentary
    -0.56
     hall
    -0.55
    POSITIVE LOGITS
    tons
    1.80
    tery
    1.18
    ts
    1.15
    chers
    1.05
    tern
    1.02
    chery
    1.02
     alas
    1.01
    ylene
    0.98
    tle
    0.98
    cher
    0.94
    Activations Density 0.103%

    No Known Activations