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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. 18539
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    Explanations

    phrases related to conservation and preservation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to conservation and environmental protection

    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
    RESULTS
    -0.68
    ONES
    -0.66
     buckle
    -0.66
     Furious
    -0.65
     breath
    -0.64
     deceive
    -0.64
    FORE
    -0.63
     Highlander
    -0.60
     Afgh
    -0.60
    VEL
    -0.60
    POSITIVE LOGITS
    ancies
    1.12
     conserv
    1.03
    ational
    0.97
    oir
    0.97
    ancy
    0.95
    atively
    0.93
    ativity
    0.93
    ility
    0.91
    hess
    0.91
    orship
    0.90
    Activations Density 0.008%

    No Known Activations