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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. 4-RES-JB
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    Explanations

    adjectives ending in 'ful'

    oai_token-act-pair · gpt-3.5-turbo

    terms related to being "ful" or having a quality of being full or characterized by a particular state

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

    No Comments

    Negative Logits
    Downloadha
    -0.79
    ivari
    -0.75
    ernels
    -0.74
    afety
    -0.74
    ISC
    -0.72
    TeX
    -0.72
    BAT
    -0.70
    Phase
    -0.67
    Phones
    -0.67
    IRD
    -0.66
    POSITIVE LOGITS
    terday
    1.16
    theless
    0.94
    terness
    0.88
    tarian
    0.87
    ful
    0.82
    filled
    0.81
    NESS
    0.76
    tarians
    0.73
     indictment
    0.71
    ness
    0.71
    Activations Density 0.017%

    No Known Activations