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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. 4-RES-JB
    11. 2952
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    Explanations

    phrases related to advice or instructions

    oai_token-act-pair · gpt-3.5-turbo

    repeated phrases that emphasize ongoing actions or reminders

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    NetMessage
    -0.93
    Interstitial
    -0.79
    女
    -0.74
    displayText
    -0.73
    ELF
    -0.69
    adish
    -0.68
    PLE
    -0.68
     tom
    -0.68
    ody
    -0.67
    UGC
    -0.66
    POSITIVE LOGITS
    ership
    0.95
    ers
    0.89
    chin
    0.84
     Keep
    0.83
     Calm
    0.82
    overs
    0.78
    estones
    0.75
    cies
    0.73
    nings
    0.73
    mind
    0.68
    Activations Density 0.030%

    No Known Activations