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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. 9-RES-JB
    11. 13507
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to control and management

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inventoryQuantity
    -0.62
    cedented
    -0.55
    umbnails
    -0.54
    catentry
    -0.53
    Bey
    -0.53
    alis
    -0.53
    ternity
    -0.52
    xious
    -0.52
    tera
    -0.52
    cember
    -0.52
    POSITIVE LOGITS
     with
    1.69
    with
    1.61
     WITH
    1.57
     withd
    1.43
     With
    1.36
    With
    1.31
     without
    1.25
    without
    1.23
    WithNo
    1.20
     WITHOUT
    1.06
    Activations Density 0.283%

    No Known Activations