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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. 9-RES-JB
    11. 13085
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    Explanations

    phrases related to personal experiences, impact, and reflections

    oai_token-act-pair · gpt-3.5-turbo

    positive reflections on personal experiences and growth

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    £ı
    -0.66
    xit
    -0.65
    cknow
    -0.64
    viks
    -0.64
    ardless
    -0.63
    overe
    -0.63
     Regulations
    -0.62
     hypoc
    -0.61
    ivably
    -0.60
     Contracts
    -0.59
    POSITIVE LOGITS
     me
    1.43
     my
    1.34
     myself
    1.03
     mine
    0.97
    My
    0.97
    my
    0.92
    iphany
    0.92
     I
    0.88
    mine
    0.87
     brainstorm
    0.80
    Activations Density 1.677%

    No Known Activations