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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. 6-RES-JB
    11. 1454
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    INDEX
    Explanations

    phrases related to tasks and deadlines

    oai_token-act-pair · gpt-3.5-turbo

    infinitive phrases indicating goals or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.69
     wastes
    -0.65
    ienne
    -0.63
     surges
    -0.57
    hops
    -0.54
     vows
    -0.54
    hai
    -0.53
    Orig
    -0.53
    awei
    -0.52
     viruses
    -0.52
    POSITIVE LOGITS
     satisfy
    1.15
     accommodate
    1.08
     accompany
    1.05
     contend
    1.05
     ensure
    1.03
     fill
    1.03
     give
    1.02
    ggles
    1.01
    wered
    1.01
     settle
    1.00
    Activations Density 0.262%

    No Known Activations