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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 12415
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ital
    -0.85
     Ambrose
    -0.74
     Lowry
    -0.69
     Clause
    -0.69
     Kag
    -0.67
     Pett
    -0.67
     Kenny
    -0.67
     Parenthood
    -0.66
     Norris
    -0.65
     Vander
    -0.64
    POSITIVE LOGITS
    based
    1.35
    driven
    1.33
    mediated
    1.28
    enabled
    1.23
    sharing
    1.19
    intensive
    1.18
    centric
    1.13
    operated
    1.11
    generated
    1.10
    controlled
    1.09
    Activations Density 0.082%

    No Known Activations