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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. 12-RES-JB
    11. 4383
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    Explanations

    phrases related to strong opinions or calls to action

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    imperative phrases urging action or recommendation to watch content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
    ©¶æ
    -0.91
     gobl
    -0.66
     fortun
    -0.64
     proport
    -0.59
    oras
    -0.57
     pestic
    -0.56
    engineering
    -0.55
     latt
    -0.55
    marg
    -0.55
    bal
    -0.54
    POSITIVE LOGITS
     WATCH
    1.36
     WATCHED
    0.76
     ACTIONS
    0.74
     Replay
    0.72
     LIVE
    0.70
     END
    0.70
     Transcript
    0.69
    OSE
    0.69
     PLAY
    0.68
     SEE
    0.68
    Activations Density 0.006%

    No Known Activations