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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. 2-RES-JB
    11. 5680
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    Explanations

    words related to consequences or potential outcomes

    oai_token-act-pair · gpt-3.5-turbo

    phrases discussing the consequences or effects of various factors or findings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    walk
    -0.71
    ced
    -0.71
    cé
    -0.71
    yards
    -0.70
    ves
    -0.70
    cop
    -0.69
    cing
    -0.69
    rug
    -0.68
    bor
    -0.68
    TABLE
    -0.68
    POSITIVE LOGITS
     implications
    1.25
     ramifications
    1.04
     implication
    0.87
     consequences
    0.87
     repercussions
    0.84
     fallout
    0.84
     impacts
    0.83
     Impl
    0.82
     impact
    0.81
    afety
    0.79
    Activations Density 0.011%

    No Known Activations