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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. 4674
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    Explanations

    phrases indicating causality or leading to a certain outcome

    oai_token-act-pair · gpt-3.5-turbo

    phrases or verbs that indicate causation or consequences

    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
    ature
    -0.64
    ahon
    -0.61
    kay
    -0.61
    _-_
    -0.59
    arer
    -0.59
    ada
    -0.58
    ighth
    -0.54
    Ħ¢
    -0.54
    abel
    -0.53
    iling
    -0.53
    POSITIVE LOGITS
     to
    1.02
     inex
    0.83
     him
    0.76
     us
    0.75
    gers
    0.74
    entious
    0.72
     inevitably
    0.71
     thereto
    0.71
     authorities
    0.70
     TO
    0.70
    Activations Density 0.047%

    No Known Activations