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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. 0-RES-JB
    11. 16749
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    Explanations

    words related to tree parts or medical conditions such as scars

    oai_token-act-pair · gpt-3.5-turbo

    terms related to political speeches and their components

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Malk
    -0.75
    kaya
    -0.74
     ALE
    -0.73
    cal
    -0.70
    ensibly
    -0.68
     Dmit
    -0.68
    fil
    -0.65
     Sergei
    -0.65
    regation
    -0.64
     moderation
    -0.64
    POSITIVE LOGITS
     stump
    4.22
     pulp
    1.19
     uptake
    1.12
     bumper
    1.10
     nursery
    1.08
     roadside
    1.08
     rake
    1.07
     mound
    1.05
     trunk
    0.99
     KP
    0.98
    Activations Density 0.048%

    No Known Activations