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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. 6-RES-JB
    11. 15462
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    Explanations

    phrases related to manipulation and manipulations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to manipulation and its various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    çĦ
    -0.88
    hood
    -0.71
    ness
    -0.71
    gap
    -0.68
    Republic
    -0.65
    zl
    -0.63
    ĪĴ
    -0.62
    senal
    -0.62
    rising
    -0.61
    yon
    -0.61
    POSITIVE LOGITS
     manipulate
    0.90
    ulators
    0.87
     manip
    0.87
    glers
    0.86
    eering
    0.86
    ulations
    0.83
     manipulating
    0.81
    ulative
    0.79
    ulator
    0.79
    ulated
    0.74
    Activations Density 0.020%

    No Known Activations