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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. 7717
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    INDEX
    Explanations

    phrases indicating a tendency or leaning towards a certain action or decision

    oai_token-act-pair · gpt-3.5-turbo

    expressions of preferences or tendencies

    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
    Kill
    -0.68
     Quant
    -0.65
     Promise
    -0.65
     Lives
    -0.63
     Guarant
    -0.62
    wan
    -0.61
     Rumble
    -0.61
    list
    -0.61
    key
    -0.60
     Healthcare
    -0.60
    POSITIVE LOGITS
     inclined
    3.80
     inclination
    2.25
     tempted
    1.82
     incl
    1.68
     disposed
    1.32
     minded
    1.27
     obliged
    1.22
     bent
    1.21
     tilted
    1.19
     swayed
    1.18
    Activations Density 0.029%

    No Known Activations