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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
    11. 7387
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    INDEX
    Explanations

    prepositions followed by a description or action

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a lack of activity or stagnation

    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
    tons
    -0.78
     âĶľ
    -0.73
    soDeliveryDate
    -0.71
    COLOR
    -0.68
     Ellison
    -0.63
     fixme
    -0.62
    ItemImage
    -0.62
    Unity
    -0.62
    DCS
    -0.62
    éŃĶ
    -0.60
    POSITIVE LOGITS
     hunt
    0.76
     hunted
    0.69
    wake
    0.65
     Hunt
    0.63
     rendition
    0.63
     claw
    0.63
    itive
    0.62
    ray
    0.61
     rounded
    0.61
     Carn
    0.61
    Activations Density 0.000%

    No Known Activations