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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. 12300
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    Explanations

    words related to evaluation or judgment

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with judgment and evaluation

    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
     subdivision
    -0.71
     workings
    -0.69
     supply
    -0.64
     mining
    -0.62
     allot
    -0.61
    fix
    -0.61
    activ
    -0.59
    enstein
    -0.59
     RPC
    -0.58
     scenes
    -0.57
    POSITIVE LOGITS
     judged
    3.46
     assessed
    2.13
     evaluated
    1.80
     deemed
    1.42
     graded
    1.26
     reckoned
    1.25
     categorized
    1.21
     measured
    1.17
     reviewed
    1.15
     analysed
    1.14
    Activations Density 0.021%

    No Known Activations