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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. 11-RES-JB
    11. 6208
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    Explanations

    words related to controversies, strong opinions, or impactful events

    oai_token-act-pair · gpt-3.5-turbo

    the word "Hit" and its variations, indicating a focus on notable actions or events related to "hit" statistics or instances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    æĢ
    -0.64
    æ©Ł
    -0.64
    ife
    -0.63
    ION
    -0.62
    idge
    -0.61
     Philos
    -0.60
    çĶŁ
    -0.60
    otive
    -0.59
    éĸ
    -0.59
    resources
    -0.59
    POSITIVE LOGITS
    ched
    1.48
    ches
    1.35
    chens
    1.19
    boxes
    1.05
    achi
    1.05
    chers
    0.98
    box
    0.89
     hardest
    0.88
    oshi
    0.84
    tle
    0.83
    Activations Density 0.043%

    No Known Activations