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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. 4-RES-JB
    11. 2490
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    INDEX
    Explanations

    phrases that indicate planning or intention

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating plans or intentions

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

    No Comments

    Negative Logits
     Temper
    -0.68
    Sport
    -0.66
    ensis
    -0.65
    oche
    -0.64
     Fowler
    -0.61
    generic
    -0.60
    esp
    -0.60
    ctors
    -0.59
    note
    -0.59
     (<
    -0.59
    POSITIVE LOGITS
     ACTIONS
    0.90
    arenthood
    0.82
     rollout
    0.77
     someday
    0.74
    wagen
    0.73
     rul
    0.73
    rontal
    0.70
     change
    0.70
     divest
    0.69
     withd
    0.68
    Activations Density 0.181%

    No Known Activations