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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. 4-RES-JB
    11. 1537
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    Explanations

    locations, spaces, or objects that are full or containing a large amount of something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "filled" related to various contexts or situations

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

    No Comments

    Negative Logits
    nature
    -0.79
    rf
    -0.78
    hawks
    -0.75
    framework
    -0.74
    peer
    -0.72
     Appro
    -0.69
    appro
    -0.65
     messenger
    -0.64
     Tackle
    -0.63
    Friends
    -0.63
    POSITIVE LOGITS
     fills
    0.79
     filled
    0.77
    ummer
    0.76
     vacancies
    0.76
     brim
    0.74
    uffy
    0.74
    iless
    0.73
    ragon
    0.72
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    0.71
    owship
    0.71
    Activations Density 0.015%

    No Known Activations