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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. 22056
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    Explanations

    words related to future aspirations

    oai_token-act-pair · gpt-3.5-turbo

    references to future aspirations and outcomes

    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
    iera
    -0.79
    lua
    -0.79
    izations
    -0.74
    arity
    -0.74
    uid
    -0.74
    IO
    -0.73
    iants
    -0.72
    ios
    -0.72
    anooga
    -0.70
    atures
    -0.70
    POSITIVE LOGITS
     someday
    1.12
    theless
    0.98
     recons
    0.90
    hower
    0.82
     generations
    0.82
     aven
    0.75
     aspire
    0.75
     hereafter
    0.73
     honoured
    0.73
     repay
    0.72
    Activations Density 0.013%

    No Known Activations