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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. 7-RES-JB
    11. 7511
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    Explanations

    words related to cause and effect or actions leading to consequences

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate causal relationships or feedback loops

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alty
    -0.71
    ilion
    -0.64
     Tacoma
    -0.63
     Rampage
    -0.62
     Lethal
    -0.61
    ntil
    -0.61
     Tub
    -0.60
     Jag
    -0.60
     Warrior
    -0.60
     Kal
    -0.58
    POSITIVE LOGITS
    ãĥĥãĥī
    0.74
    udes
    0.67
    ividual
    0.67
     ACTIONS
    0.66
    ________________________________________________________________
    0.66
    ombat
    0.65
    ectar
    0.65
    rodu
    0.65
    èĥ
    0.65
    iev
    0.64
    Activations Density 0.018%

    No Known Activations