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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. 1-RES-JB
    11. 6575
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    Explanations

    phrases related to expensive or costly items or actions

    oai_token-act-pair · gpt-3.5-turbo

    references to high costs or expenses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    swick
    -0.82
    ept
    -0.78
    know
    -0.78
    erd
    -0.75
    peak
    -0.74
    oan
    -0.74
    ipt
    -0.71
    ership
    -0.69
    Appearance
    -0.68
    ordan
    -0.68
    POSITIVE LOGITS
     costly
    1.31
     wasteful
    1.02
     expensive
    1.00
    ãĥ¥
    0.89
     pointless
    0.89
     prohib
    0.88
     cumbers
    0.84
     burdens
    0.84
     unnecessary
    0.84
     unnecess
    0.83
    Activations Density 0.007%

    No Known Activations