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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. 1-RES-JB
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    Explanations

    terms related to strong emotional reactions or intense situations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to intense emotional or dramatic experiences, particularly involving martyrdom or revolutionary themes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    leeve
    -0.78
    avorite
    -0.74
    crew
    -0.73
    ampton
    -0.70
    ovych
    -0.66
    owe
    -0.65
     Nadu
    -0.65
     Programme
    -0.65
    achine
    -0.63
     Equality
    -0.62
    POSITIVE LOGITS
    mented
    1.12
    ments
    1.05
    pton
    0.98
    mentation
    0.96
    nce
    0.84
    ns
    0.84
    pers
    0.83
    ¹
    0.82
    llers
    0.82
    tted
    0.81
    Activations Density 0.027%

    No Known Activations