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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. 3-RES-JB
    11. 4067
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    Explanations

    text related to heat or intense conditions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to extreme heat or scorching phrases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Garner
    -0.67
    externalActionCode
    -0.66
    sburgh
    -0.62
    elf
    -0.62
     Secondary
    -0.61
     Crown
    -0.61
     Leilan
    -0.61
     subord
    -0.60
    ele
    -0.60
     Pref
    -0.60
    POSITIVE LOGITS
    ched
    1.06
    ching
    1.00
    ning
    0.98
    cher
    0.94
    chers
    0.93
    ches
    0.86
    ifer
    0.82
    andum
    0.80
    vier
    0.79
    âĸ¬
    0.78
    Activations Density 0.026%

    No Known Activations