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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 9-RES-JB
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    Explanations

    the word **"shelter"**

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "shelter" in various contexts

    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
     quizz
    -0.69
    lass
    -0.68
    ONES
    -0.66
    xual
    -0.63
    uscript
    -0.61
    eka
    -0.59
    ombat
    -0.59
    emphasis
    -0.58
    ysis
    -0.58
    Ign
    -0.58
    POSITIVE LOGITS
    raint
    0.82
     Refuge
    0.76
    lain
    0.73
     shelter
    0.72
    abit
    0.71
     refuge
    0.70
    grounds
    0.70
    acle
    0.70
    belt
    0.67
    arity
    0.66
    Activations Density 0.071%

    No Known Activations