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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. 19857
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    Explanations

    words related to strong emotions and actions, such as "aming" which may connote intensity or emphasis

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concept of "naming."

    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
     fence
    -0.76
     subdiv
    -0.65
     gro
    -0.64
     tract
    -0.63
     fences
    -0.63
     break
    -0.61
     pinch
    -0.61
     Scand
    -0.60
     thr
    -0.60
     exits
    -0.60
    POSITIVE LOGITS
    aming
    4.44
    amed
    2.60
    ames
    1.99
    amer
    1.73
    ame
    1.68
    ams
    1.52
    AMES
    1.50
    amy
    1.42
    amation
    1.29
    eming
    1.27
    Activations Density 0.011%

    No Known Activations