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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. 7-RES-JB
    11. 7514
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    Explanations

    phrases related to making demands or requests

    oai_token-act-pair · gpt-3.5-turbo

    terms related to requests and demands

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    VERTISEMENT
    -0.81
    ãĥĦ
    -0.71
    phal
    -0.69
    unders
    -0.69
    ph
    -0.67
    mania
    -0.67
    nown
    -0.67
    Sense
    -0.66
    abet
    -0.65
    cler
    -0.62
    POSITIVE LOGITS
     clarification
    0.85
     explanations
    0.83
     forgiveness
    0.82
     retribution
    0.81
     permission
    0.80
     attendance
    0.79
     patience
    0.78
     anonymity
    0.78
     reinforcements
    0.77
     admission
    0.75
    Activations Density 0.087%

    No Known Activations