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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. 6-RES-JB
    11. 7730
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    Explanations

    numerical values expressed with decimals

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistical figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     swim
    -0.75
     asylum
    -0.72
     advis
    -0.69
     attacker
    -0.68
     electr
    -0.66
     recre
    -0.63
     envisioned
    -0.62
     intruder
    -0.62
     totality
    -0.62
     mattress
    -0.62
    POSITIVE LOGITS
    5
    1.39
    8
    1.30
    9
    1.28
    6
    1.27
    0
    1.27
    3
    1.26
    7
    1.26
    75
    1.22
    95
    1.22
    4
    1.21
    Activations Density 0.077%

    No Known Activations