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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. 5-RES-JB
    6. 10806
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    Explanations

    words related to proper nouns and locations

    oai_token-act-pair · gpt-3.5-turbo

    words related to specific names or titles, particularly focusing on the prefix 'B' and similar patterns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FORMATION
    -0.69
    \/\/
    -0.67
    RFC
    -0.65
     Malays
    -0.60
     FTC
    -0.60
    xual
    -0.59
    ĸļ
    -0.58
    Whereas
    -0.57
    ources
    -0.57
    ngth
    -0.57
    POSITIVE LOGITS
    levard
    1.11
    lehem
    1.01
    pillar
    0.99
    apest
    0.94
    hammad
    0.88
    rill
    0.80
    etooth
    0.79
    abase
    0.78
    ause
    0.78
    aneers
    0.77
    Activations Density 0.126%

    No Known Activations