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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 13479
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    Explanations

    dates and related information such as routes and events

    oai_token-act-pair · gpt-3.5-turbo

    specific routes and dates related to events or schedules

    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
    >[
    -0.99
    aca
    -0.82
    ãĤ´ãĥ³
    -0.76
    @#&
    -0.76
    ãĥīãĥ©ãĤ´ãĥ³
    -0.74
    uscript
    -0.72
    =~=~
    -0.70
    lehem
    -0.67
    ó
    -0.67
     è£ıç
    -0.67
    POSITIVE LOGITS
     rods
    0.65
    orean
    0.65
     Participant
    0.59
     spaceship
    0.58
     Sorceress
    0.58
     respir
    0.56
     haste
    0.55
     Sheen
    0.55
     pregn
    0.54
     Recall
    0.53
    Activations Density 0.222%

    No Known Activations