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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. 9-RES-JB
    11. 20052
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    Explanations

    mentions of receiving or having received something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the act of receiving something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iny
    -0.68
    ney
    -0.64
    eden
    -0.63
    pan
    -0.62
    apse
    -0.60
     Gillespie
    -0.58
    olini
    -0.57
    hole
    -0.57
    fall
    -0.57
    isting
    -0.56
    POSITIVE LOGITS
     permission
    0.98
     preferential
    0.98
     notification
    0.89
    imental
    0.89
     gifts
    0.88
     invitations
    0.84
     assurances
    0.83
     accol
    0.82
     compliments
    0.81
     royalties
    0.81
    Activations Density 0.081%

    No Known Activations