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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. 3-RES-JB
    11. 7274
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    INDEX
    Explanations

    phrases related to habits or familiar routines

    oai_token-act-pair · gpt-3.5-turbo

    the concept of becoming accustomed to experiences or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chn
    -0.79
    plane
    -0.75
     Helsinki
    -0.69
    uddin
    -0.66
    oner
    -0.64
    berry
    -0.63
    cell
    -0.63
    tein
    -0.63
    allo
    -0.60
    Draft
    -0.59
    POSITIVE LOGITS
     accustomed
    1.09
    entimes
    0.88
    ience
    0.77
     recoil
    0.76
     familiar
    0.71
     acquainted
    0.70
    ĸļ
    0.69
     exerc
    0.69
    wcs
    0.68
     fashioned
    0.68
    Activations Density 0.012%

    No Known Activations