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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. 11-RES-JB
    11. 11676
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    Explanations

    mentions of lists

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate extensive lists or collections

    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
    ivals
    -0.77
    anto
    -0.70
     bond
    -0.70
    saf
    -0.68
    odied
    -0.65
    assetsadobe
    -0.64
    Charges
    -0.64
    ãĥ©ãĥ³
    -0.64
    RL
    -0.63
    arate
    -0.63
    POSITIVE LOGITS
     comprised
    1.22
     overflowing
    1.21
     narrowed
    1.20
     populated
    1.20
     exhaustive
    1.18
     littered
    1.17
     eclectic
    1.15
     dwindling
    1.14
     endless
    1.13
     expansive
    1.11
    Activations Density 0.438%

    No Known Activations