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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. 10-RES-JB
    11. 6222
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    Explanations

    instances of receiving something as described in the text

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the act of receiving or getting something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iny
    -0.83
    hid
    -0.66
    arcity
    -0.62
    pan
    -0.61
     Strait
    -0.61
    isting
    -0.60
    apsed
    -0.60
     Alone
    -0.60
    eden
    -0.60
    pire
    -0.60
    POSITIVE LOGITS
     permission
    1.15
     preferential
    1.02
     assurances
    1.00
     encouragement
    0.98
     invitations
    0.96
     accol
    0.95
     notification
    0.94
     guidance
    0.90
     gifts
    0.88
     approval
    0.88
    Activations Density 0.075%

    No Known Activations