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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. 11201
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    Explanations

    words related to intense emotional states or significant actions

    oai_token-act-pair · gpt-3.5-turbo

    words related to deprivation and its various contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    FORE
    -0.87
     Dragonbound
    -0.83
    nings
    -0.82
    ãĥīãĥ©ãĤ´ãĥ³
    -0.81
     Flavoring
    -0.77
     Pose
    -0.76
     Hole
    -0.76
    ãĤ¤ãĥĪ
    -0.75
    Interstitial
    -0.75
    çĦ
    -0.73
    POSITIVE LOGITS
    utation
    1.06
    rec
    1.04
    raved
    1.03
    utations
    1.02
    ository
    1.02
    orters
    1.00
    reci
    0.96
    recated
    0.94
    ravity
    0.94
    ict
    0.94
    Activations Density 0.006%

    No Known Activations