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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. 3-RES-JB
    11. 23654
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    INDEX
    Explanations

    descriptions of emotional pain or intense suffering

    oai_token-act-pair · gpt-3.5-turbo

    emotionally charged words related to sadness and deep emotional pain

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    udo
    -0.85
    ifact
    -0.77
    lane
    -0.77
    giene
    -0.76
    ributed
    -0.75
    icators
    -0.75
    amins
    -0.74
    nels
    -0.73
    abilities
    -0.72
     Allaah
    -0.71
    POSITIVE LOGITS
     heartbreaking
    0.82
     agony
    0.78
     melodies
    0.78
    staking
    0.76
     anguish
    0.74
    terness
    0.73
     delic
    0.72
     violet
    0.71
     [|
    0.70
     rendition
    0.70
    Activations Density 0.052%

    No Known Activations