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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. 6307
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    Explanations

    adjectives describing sizes or quantities

    oai_token-act-pair · gpt-3.5-turbo

    phrases containing references to size or scale

    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
    PsyNetMessage
    -0.77
     Anarchy
    -0.76
     Solitaire
    -0.75
    livious
    -0.74
    =~
    -0.71
    ovie
    -0.68
    ebin
    -0.68
    ITNESS
    -0.68
    eport
    -0.68
     Therapy
    -0.68
    POSITIVE LOGITS
     bulky
    1.19
     powerful
    1.17
     sprawling
    1.12
     bold
    1.07
     vigorous
    1.07
     forceful
    1.06
     dense
    1.06
     sustained
    1.05
     strong
    1.04
     mighty
    1.04
    Activations Density 0.117%

    No Known Activations