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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. 8-RES-JB
    6. 16394
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    Explanations

    mentions of memories or memoirs

    oai_token-act-pair · gpt-3.5-turbo

    references to memories or memoirs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ASC
    -0.73
     Aval
    -0.68
     Highlander
    -0.63
     Ducks
    -0.62
     diver
    -0.60
     Citizen
    -0.60
     Palmer
    -0.60
     Elves
    -0.60
     Drift
    -0.59
     Shining
    -0.59
    POSITIVE LOGITS
    phis
    1.40
    oir
    1.32
    abilia
    1.17
    etics
    1.16
    etic
    1.15
    orial
    1.15
    eor
    1.14
    elong
    1.13
    bered
    1.11
    orable
    1.10
    Activations Density 0.022%

    No Known Activations