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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. 1-RES-JB
    11. 2354
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    Explanations

    words related to stimulants and compounds with hydrating properties

    oai_token-act-pair · gpt-3.5-turbo

    words related to medical substances or compounds and their effects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stretched
    -0.89
     CLSID
    -0.85
    imate
    -0.68
    named
    -0.67
    REAM
    -0.66
    cedented
    -0.64
    @#&
    -0.64
    ONT
    -0.64
    xml
    -0.64
    anooga
    -0.64
    POSITIVE LOGITS
    catentry
    0.90
    ucl
    0.81
    idia
    0.76
    gate
    0.76
     advis
    0.76
    ogens
    0.75
    uctor
    0.74
    iencies
    0.73
     Enhancement
    0.73
     defic
    0.72
    Activations Density 0.220%

    No Known Activations