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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. 17350
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    Explanations

    terms related to water quality issues

    oai_token-act-pair · gpt-3.5-turbo

    references to drinking water and related issues

    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
    eering
    -0.81
    ature
    -0.78
    ATURE
    -0.72
    pload
    -0.71
    eki
    -0.70
     Torment
    -0.65
    roup
    -0.64
    Reloaded
    -0.64
    ificant
    -0.62
    eers
    -0.62
    POSITIVE LOGITS
    melon
    1.50
    falls
    1.00
    colour
    0.93
    mel
    0.92
     fluor
    0.92
    borne
    0.89
    loo
    0.86
    tight
    0.84
    banks
    0.83
     heater
    0.81
    Activations Density 0.029%

    No Known Activations