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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. 10-RES-JB
    11. 920
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    INDEX
    Explanations

    images or descriptions of people holding objects or items

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "holding" and related phrases about possession or grasping

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nown
    -0.74
    hower
    -0.70
     unemploy
    -0.70
    omen
    -0.69
    SPONSORED
    -0.66
    gradation
    -0.66
    ensity
    -0.65
    =~
    -0.63
    issance
    -0.61
     wealthiest
    -0.61
    POSITIVE LOGITS
     scissors
    1.11
     knives
    1.00
     torches
    0.93
     pistols
    0.91
     handcuffs
    0.90
     bags
    0.87
     spears
    0.86
     clenched
    0.84
     baskets
    0.84
    stretched
    0.84
    Activations Density 0.142%

    No Known Activations