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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. 10-RES-JB
    11. 21556
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    Explanations

    ways to describe concepts or actions as positively as possible

    oai_token-act-pair · gpt-3.5-turbo

    adjectives and adverbs describing ease, security, and complexity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ograp
    -0.64
     dstg
    -0.53
    ;;;;;;;;;;;;
    -0.53
    umbai
    -0.52
    £ı
    -0.51
     WARN
    -0.51
    ;;;;;;;;
    -0.50
    quartered
    -0.49
    quickShipAvailable
    -0.49
    rique
    -0.49
    POSITIVE LOGITS
     as
    1.31
    as
    1.07
     AS
    0.90
     As
    0.77
    istani
    0.74
    As
    0.73
    asp
    0.71
    asel
    0.68
    idious
    0.67
    keye
    0.63
    Activations Density 0.150%

    No Known Activations