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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 17555
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    Explanations

    email opt-out instructions in messages

    oai_token-act-pair · gpt-3.5-turbo

    modal verbs indicating possibility or permission

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ngth
    -0.66
    enza
    -0.56
    æĢ
    -0.55
    nesses
    -0.55
     Meaning
    -0.53
    bing
    -0.52
     Fighters
    -0.52
     Dram
    -0.52
     cousins
    -0.51
     Fighter
    -0.51
    POSITIVE LOGITS
     unsub
    0.76
     opt
    0.75
    umbs
    0.69
    email
    0.66
    atorium
    0.66
    cgi
    0.65
     subscribe
    0.64
     embed
    0.63
    Limit
    0.60
    ads
    0.60
    Activations Density 0.030%

    No Known Activations