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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. 6342
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    Explanations

    references to the level of education of individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to being educated or the concept of education

    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
    yx
    -0.77
     breach
    -0.71
     Slip
    -0.69
     Item
    -0.68
    icity
    -0.66
     Vehicle
    -0.66
     Sequence
    -0.63
    blocks
    -0.63
     breaches
    -0.62
     Frost
    -0.62
    POSITIVE LOGITS
     educated
    3.71
    educated
    3.09
     educate
    1.80
     educ
    1.76
     educating
    1.74
    informed
    1.59
    Educ
    1.57
     Educ
    1.53
    trained
    1.43
     vaccinated
    1.43
    Activations Density 0.020%

    No Known Activations