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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. 4-RES-JB
    11. 7201
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    Explanations

    phrases related to personal advancement or progression

    oai_token-act-pair · gpt-3.5-turbo

    references to personal growth and assistance in recovery

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

    No Comments

    Negative Logits
    Downloadha
    -0.53
    umerable
    -0.47
    eor
    -0.45
     Thur
    -0.45
     doubtless
    -0.44
    nih
    -0.44
    athi
    -0.42
    BIP
    -0.42
    fortunately
    -0.42
    Ö¼
    -0.42
    POSITIVE LOGITS
    rue
    0.67
     oneself
    0.62
     uninterrupted
    0.55
     favourable
    0.53
     meaningful
    0.52
     someday
    0.51
    izoph
    0.50
    inational
    0.49
    role
    0.48
    omever
    0.48
    Activations Density 2.189%

    No Known Activations