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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. 7-RES-JB
    11. 22686
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    Explanations

    phrases indicating a specific object or place that serves a particular purpose

    oai_token-act-pair · gpt-3.5-turbo

    phrases involving the word "serve" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Rebell
    -0.68
    Fs
    -0.64
    rants
    -0.64
    onian
    -0.64
    LINE
    -0.62
     proble
    -0.62
    onen
    -0.62
    rone
    -0.62
     Notting
    -0.60
    alloc
    -0.60
    POSITIVE LOGITS
     fodder
    0.81
     ambassadors
    0.75
     follows
    0.75
    pires
    0.74
     ambassador
    0.74
     adjunct
    0.73
    criptions
    0.72
     equivalent
    0.71
     evidenced
    0.71
     integral
    0.71
    Activations Density 0.076%

    No Known Activations