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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. 21492
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    Explanations

    words related to negative or critical implications

    oai_token-act-pair · gpt-3.5-turbo

    the word "connotation" and its variations, indicating a focus on the implications and associations of terms used

    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
    TPS
    -0.62
     sett
    -0.58
    ï¸ı
    -0.56
     Dillon
    -0.55
     videot
    -0.55
     Wem
    -0.55
     Emerson
    -0.55
     wip
    -0.54
     drafts
    -0.53
     recorded
    -0.52
    POSITIVE LOGITS
    undrum
    1.49
    gru
    1.39
    clusively
    1.34
    duction
    1.32
    clave
    1.31
    notations
    1.30
    notation
    1.27
    forming
    1.26
    gression
    1.26
    versely
    1.25
    Activations Density 0.018%

    No Known Activations