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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. 18375
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    Explanations

    phrases related to movements or actions

    oai_token-act-pair · gpt-3.5-turbo

    specific actions or events related to personal experiences and milestones

    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
    far
    -0.66
     notwithstanding
    -0.66
     aver
    -0.64
    00007
    -0.64
    inen
    -0.62
    ¶ħ
    -0.62
     Nanto
    -0.61
     exacerbated
    -0.59
    mong
    -0.58
    among
    -0.58
    POSITIVE LOGITS
    uberty
    0.86
    enium
    0.67
    robe
    0.65
    ],"
    0.65
    ascus
    0.62
     exams
    0.62
    pection
    0.62
    ript
    0.62
    jen
    0.60
    azeera
    0.60
    Activations Density 0.852%

    No Known Activations