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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 5627
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    Explanations

    phrases indicating anticipation or excitement about future events

    oai_token-act-pair · gpt-3.5-turbo

    expressions of anticipation or eagerness for future events

    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
    cius
    -0.82
    BLIC
    -0.67
    inas
    -0.64
    aneers
    -0.62
     Manson
    -0.61
    ento
    -0.61
    alien
    -0.61
    hiba
    -0.60
    enthal
    -0.60
    artney
    -0.59
    POSITIVE LOGITS
    ï¸
    0.87
    WARD
    0.85
    wards
    0.76
     nostalg
    0.71
    ward
    0.71
     happily
    0.68
    orr
    0.68
     eagerly
    0.67
    Ħ¢
    0.66
    §
    0.66
    Activations Density 0.012%

    No Known Activations