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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. 10-RES-JB
    11. 4793
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    INDEX
    Explanations

    names of government officials and organizations that the subject is writing a letter to

    oai_token-act-pair · gpt-3.5-turbo

    references to communication or correspondence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bys
    -0.72
    ptions
    -0.71
    aughs
    -0.64
    ibaba
    -0.63
     absorbs
    -0.61
     manoeuv
    -0.60
    OVA
    -0.59
    idable
    -0.58
    erest
    -0.58
    phe
    -0.58
    POSITIVE LOGITS
     informing
    1.61
     thanking
    1.52
     requesting
    1.48
     urging
    1.46
     apologizing
    1.44
     asking
    1.42
     complaining
    1.35
     reminding
    1.35
     stating
    1.32
     expressing
    1.32
    Activations Density 0.378%

    No Known Activations