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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. 4-RES-JB
    11. 24247
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    Explanations

    words related to providing entertainment

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of entertainment

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

    No Comments

    Negative Logits
    yer
    -0.71
     deported
    -0.64
     deline
    -0.63
     bottleneck
    -0.63
    mine
    -0.63
     accumulated
    -0.61
    imil
    -0.61
     fingerprint
    -0.61
    jamin
    -0.60
     mined
    -0.60
    POSITIVE LOGITS
    tainment
    1.14
     entertain
    1.04
     entertained
    0.99
    glers
    0.90
    Reviewer
    0.85
    ROR
    0.81
    issance
    0.81
    swer
    0.81
     entert
    0.80
     quot
    0.80
    Activations Density 0.011%

    No Known Activations