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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. 757
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    Explanations

    phrases related to a situation or condition being considered in a particular way

    oai_token-act-pair · gpt-3.5-turbo

    references to recent events or situations

    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
    irlf
    -0.90
    pload
    -0.79
    apego
    -0.77
     Forever
    -0.77
     Paso
    -0.73
    ihu
    -0.71
    abies
    -0.70
    regor
    -0.70
     Legisl
    -0.69
     Clarks
    -0.67
    POSITIVE LOGITS
    enment
    0.90
    ening
    0.87
    weights
    0.84
     bulb
    0.80
    heartedly
    0.76
     circumstances
    0.76
     favorable
    0.74
    ened
    0.74
    hearted
    0.73
    weight
    0.72
    Activations Density 0.016%

    No Known Activations