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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. 2-RES-JB
    11. 8009
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    Explanations

    words related to negative emotions and impactful events

    oai_token-act-pair · gpt-3.5-turbo

    adjectives and nouns related to describing negative or extreme characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mberg
    -0.84
    afety
    -0.84
    igon
    -0.79
    redit
    -0.76
    uid
    -0.75
    rael
    -0.74
    chenko
    -0.73
    soDeliveryDate
    -0.73
    udeb
    -0.72
    avis
    -0.72
    POSITIVE LOGITS
    ness
    1.08
    ly
    0.94
     qualities
    0.90
    ty
    0.87
    ity
    0.87
    nesses
    0.84
     behaviour
    0.83
    ities
    0.82
     minded
    0.80
     nature
    0.79
    Activations Density 0.149%

    No Known Activations