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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. 3-RES-JB
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    Explanations

    adjectives ending in 'ous'

    oai_token-act-pair · gpt-3.5-turbo

    adjectives that describe various levels of experience or emotional states

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aver
    -0.79
    ËĪ
    -0.76
    ensor
    -0.72
    ©¶æ
    -0.70
    href
    -0.69
    oresc
    -0.67
    avis
    -0.67
    ublic
    -0.65
    acus
    -0.65
    avia
    -0.64
    POSITIVE LOGITS
    Magikarp
    1.00
    ness
    0.93
    ly
    0.91
    NESS
    0.89
    nesses
    0.81
     surprises
    0.80
     imitation
    0.77
    hearted
    0.75
     understatement
    0.74
     Kou
    0.70
    Activations Density 0.080%

    No Known Activations