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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
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    Explanations

    adjectives ending in 'iot'

    oai_token-act-pair · gpt-3.5-turbo

    the term "iot" and related variations indicating discussions of the Internet of Things

    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
    ishable
    -0.84
    matically
    -0.75
    cutting
    -0.71
    issy
    -0.69
    glomer
    -0.69
    itivity
    -0.68
    verting
    -0.66
    gging
    -0.66
    idity
    -0.66
    acebook
    -0.65
    POSITIVE LOGITS
    nik
    1.00
    opol
    0.89
    æ©
    0.79
    otin
    0.79
    enburg
    0.74
    omy
    0.73
    ember
    0.73
    в
    0.71
    eering
    0.70
    и
    0.66
    Activations Density 0.065%

    No Known Activations