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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. 6-RES-JB
    11. 18403
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    Explanations

    phrases where someone is requesting or receiving something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "me" and variations of "us" within context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amiya
    -0.74
    eness
    -0.71
    ami
    -0.70
    _.
    -0.67
    Charg
    -0.66
    charg
    -0.64
    Upload
    -0.63
    taboola
    -0.61
    fig
    -0.61
    bell
    -0.57
    POSITIVE LOGITS
    ãģ¦
    0.81
    rov
    0.79
     pause
    0.75
     ample
    0.75
     access
    0.71
     assurances
    0.69
    çīĪ
    0.69
    ãģŁ
    0.68
     abundantly
    0.68
     insight
    0.66
    Activations Density 0.079%

    No Known Activations