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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. 2-RES-JB
    11. 6453
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    terms related to gaining success or attention

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pled
    -0.66
     reckoned
    -0.65
     contemplated
    -0.62
    iso
    -0.61
    meta
    -0.60
    mate
    -0.60
    machine
    -0.59
    pl
    -0.58
     blot
    -0.58
     densely
    -0.57
    POSITIVE LOGITS
     gained
    0.84
    iculty
    0.80
    ĸļ
    0.78
     notoriety
    0.77
    itive
    0.77
     veter
    0.77
    eteenth
    0.77
     gains
    0.75
    icult
    0.75
     gain
    0.74
    Activations Density 0.015%

    No Known Activations