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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. 7-RES-JB
    11. 21767
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    Explanations

    phrases related to deep thought or analysis

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of thinking processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Ann
    -0.72
    any
    -0.66
    henko
    -0.66
    feeding
    -0.65
     Sever
    -0.64
    emale
    -0.63
    Sharp
    -0.63
    çĦ
    -0.61
     Shelter
    -0.60
    Jer
    -0.60
    POSITIVE LOGITS
     about
    0.82
    redients
    0.78
    zsche
    0.76
    afia
    0.75
    cient
    0.73
    sonian
    0.72
    ieu
    0.71
     ABOUT
    0.71
    fulness
    0.68
    isphere
    0.68
    Activations Density 0.032%

    No Known Activations