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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. 4-RES-JB
    11. 14601
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    Explanations

    phrases related to negative emotions

    oai_token-act-pair · gpt-3.5-turbo

    words related to distress or negative feelings

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

    No Comments

    Negative Logits
    theless
    -0.87
    swick
    -0.86
    glers
    -0.83
    tes
    -0.78
    ton
    -0.75
    fter
    -0.74
    haw
    -0.72
    deen
    -0.72
    LOAD
    -0.71
    frames
    -0.69
    POSITIVE LOGITS
    anced
    1.21
    ribut
    1.14
    ancing
    1.05
    illery
    1.02
    enfranch
    0.97
    ributes
    0.97
    aste
    0.93
    illation
    0.91
     dist
    0.90
    astrous
    0.90
    Activations Density 0.008%

    No Known Activations