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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. 17838
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    Explanations

    phrases talking about parts or components in the context of broader narratives or actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate components or elements of different subjects or systems

    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
     vulner
    -0.71
    iol
    -0.71
     possessed
    -0.68
     ignor
    -0.65
    epend
    -0.64
     sexes
    -0.63
     liking
    -0.63
     brim
    -0.61
     prefers
    -0.60
    osc
    -0.60
    POSITIVE LOGITS
     longstanding
    0.92
     ongoing
    0.86
     efforts
    0.85
     broader
    0.84
    Days
    0.82
     escalating
    0.78
     tensions
    0.75
     mounting
    0.74
     what
    0.70
     continuing
    0.70
    Activations Density 0.440%

    No Known Activations