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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. 3-RES-JB
    11. 4744
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    Explanations

    words related to achievement or accomplishment

    oai_token-act-pair · gpt-3.5-turbo

    references to achievement or attainment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Downloadha
    -0.82
    ROM
    -0.80
    assetsadobe
    -0.79
    hyde
    -0.79
    76561
    -0.78
    REDACTED
    -0.74
     Galile
    -0.74
    HAEL
    -0.73
     ATI
    -0.69
    PDATE
    -0.67
    POSITIVE LOGITS
    ension
    1.14
    itudinal
    1.12
    ments
    1.08
    ributes
    1.03
    uning
    1.02
    itudes
    1.02
    itude
    1.01
    ainment
    0.99
    ensions
    0.96
    estation
    0.95
    Activations Density 0.005%

    No Known Activations