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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. 3117
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    Explanations

    expressions of gratitude and appreciation

    oai_token-act-pair · gpt-3.5-turbo
    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
    Not in Any Lists

    No Comments

    Negative Logits
    toggle
    -0.84
    NULL
    -0.76
    aq
    -0.76
    Enlarge
    -0.67
    antz
    -0.66
    addafi
    -0.66
    Diff
    -0.66
    irting
    -0.63
    cigarettes
    -0.63
    lash
    -0.63
    POSITIVE LOGITS
     hopefully
    1.03
     secondly
    0.97
     congr
    0.85
     deserve
    0.83
     welcomes
    0.82
     strive
    0.79
     luckily
    0.79
    ï¸ı
    0.79
     ours
    0.78
     congratulate
    0.78
    Activations Density 0.296%

    No Known Activations