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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. 7-RES-JB
    11. 3552
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    Explanations

    professions and roles related to various industries

    oai_token-act-pair · gpt-3.5-turbo

    groups and roles of various stakeholders involved in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bung
    -0.65
    Reloaded
    -0.64
     Reconstruction
    -0.62
     Lov
    -0.62
    _-
    -0.60
     Sunrise
    -0.59
    omaly
    -0.58
    icity
    -0.58
     Auckland
    -0.58
     Osc
    -0.58
    POSITIVE LOGITS
     alike
    2.42
     respectively
    1.05
     who
    0.84
    hips
    0.82
    paces
    0.80
     thereof
    0.79
    itaire
    0.75
     worldwide
    0.75
     whom
    0.73
     wishing
    0.72
    Activations Density 0.203%

    No Known Activations