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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. 2-RES-JB
    11. 11041
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    Explanations

    references to the word "ambient"

    oai_token-act-pair · gpt-3.5-turbo

    references to ambient experiences and environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vous
    -0.78
    DER
    -0.75
    cca
    -0.71
    ammed
    -0.71
    ilts
    -0.70
    sei
    -0.70
    ammad
    -0.69
    peria
    -0.69
    apego
    -0.68
    ramid
    -0.67
    POSITIVE LOGITS
     ambient
    1.11
     noise
    0.83
     humidity
    0.81
     recordings
    0.77
    ient
    0.77
     noises
    0.76
     temperatures
    0.75
     lumin
    0.71
     tem
    0.70
     temperature
    0.70
    Activations Density 0.004%

    No Known Activations