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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. 23395
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    Explanations

    verbs related to actions or experiences

    oai_token-act-pair · gpt-3.5-turbo

    comparisons and analogies to experiences or actions

    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
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    No Comments

    Negative Logits
    ersen
    -0.70
    ses
    -0.67
    arat
    -0.64
    gradation
    -0.60
    ifi
    -0.60
    ifer
    -0.59
    uti
    -0.59
    endant
    -0.58
    Reporting
    -0.58
    quad
    -0.58
    POSITIVE LOGITS
     oneself
    1.21
     Yourself
    0.80
     Pengu
    0.78
     strangers
    0.76
     yourself
    0.73
    onym
    0.66
    é¾įå
    0.63
     bare
    0.62
     CTRL
    0.61
     outdoors
    0.59
    Activations Density 0.347%

    No Known Activations