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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. 23827
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    Explanations

    proper nouns with a 'w' in the middle

    oai_token-act-pair · gpt-3.5-turbo

    words related to expressions of excitement or intensity

    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
     Uriel
    -0.72
    ski
    -0.67
     Immunity
    -0.67
    oslov
    -0.64
    spr
    -0.63
    IONS
    -0.62
    Magikarp
    -0.61
    hetti
    -0.61
    s
    -0.61
    RIC
    -0.59
    POSITIVE LOGITS
    efully
    1.09
     wo
    0.98
    ofer
    0.98
    ollen
    0.93
    eful
    0.91
    ceive
    0.85
    jo
    0.84
    ocom
    0.83
    aker
    0.80
    quin
    0.79
    Activations Density 0.016%

    No Known Activations