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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. 6-RES-JB
    11. 10799
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    Explanations

    phrases related to change or progression

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate causal relationships or associations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    «ĺ
    -0.68
    hari
    -0.61
    trap
    -0.60
    undrum
    -0.59
    umbn
    -0.59
    QB
    -0.59
    bow
    -0.58
    safe
    -0.58
    afety
    -0.57
    listed
    -0.57
    POSITIVE LOGITS
     inflation
    0.71
    Demand
    0.66
    .<
    0.64
     Yanuk
    0.64
    flation
    0.62
     Sandwich
    0.62
     Spending
    0.61
    Reloaded
    0.59
     compared
    0.59
     consolidation
    0.58
    Activations Density 0.343%

    No Known Activations