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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. 8-RES-JB
    11. 1281
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    INDEX
    Explanations

    infinitive verbs followed by an object or concept

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate instructions or recommended actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mails
    -0.64
    quickShipAvailable
    -0.62
    âĿ
    -0.61
     looms
    -0.61
     replies
    -0.61
     handles
    -0.60
    listed
    -0.59
    Dur
    -0.59
     Hind
    -0.59
    typ
    -0.58
    POSITIVE LOGITS
     dismantle
    1.06
     minimize
    1.06
     create
    1.05
     maximize
    1.04
     educate
    1.04
     find
    1.02
     recreate
    1.00
     eliminate
    1.00
     conserve
    1.00
     deprive
    0.99
    Activations Density 0.132%

    No Known Activations