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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. 0-RES-JB
    11. 22556
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    Explanations

    phrases related to aspirations and ambitions

    oai_token-act-pair · gpt-3.5-turbo

    references to aspirations and goals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    guard
    -0.70
    ometric
    -0.68
     CPU
    -0.67
    ittee
    -0.67
    introdu
    -0.66
    cover
    -0.66
     parameter
    -0.65
    ometer
    -0.64
     Correction
    -0.63
     levied
    -0.63
    POSITIVE LOGITS
     dreams
    4.02
     nightmares
    2.46
     Dreams
    2.46
     dream
    2.32
     visions
    2.17
     dreaming
    2.12
     fantasies
    2.08
     aspirations
    1.93
     dreamed
    1.87
    dream
    1.87
    Activations Density 0.009%

    No Known Activations