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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. 23370
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    Explanations

    words related to consequences or results of actions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to consequences and implications of events or actions

    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
    MQ
    -0.80
    ramid
    -0.78
    swick
    -0.75
    bor
    -0.70
    wagen
    -0.68
    atown
    -0.68
    yss
    -0.68
    cop
    -0.68
    enged
    -0.68
    bug
    -0.67
    POSITIVE LOGITS
     consequences
    1.11
     ramifications
    1.02
     thereof
    1.00
     repercussions
    0.98
     implications
    0.97
     arising
    0.96
     fallout
    0.90
     reverber
    0.85
     consequential
    0.78
     ripple
    0.78
    Activations Density 0.059%

    No Known Activations