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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. 3-RES-JB
    11. 5539
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    Explanations

    names or terms related to specific locations or people

    oai_token-act-pair · gpt-3.5-turbo

    the word "well" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     anat
    -0.65
     Madagascar
    -0.65
    RAW
    -0.64
     nationally
    -0.60
     tang
    -0.59
     reflection
    -0.59
    adena
    -0.58
     dash
    -0.58
    İĭ
    -0.57
     scratch
    -0.57
    POSITIVE LOGITS
    esley
    1.27
    oyd
    0.90
    ards
    0.88
    ness
    0.86
    espie
    0.86
    aday
    0.84
    ington
    0.83
    ie
    0.81
    tenance
    0.78
    enium
    0.77
    Activations Density 0.013%

    No Known Activations