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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. 5-RES-JB
    6. 1999
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    INDEX
    Explanations

    words related to emotions

    oai_token-act-pair · gpt-3.5-turbo

    prefixes or syllable patterns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Companion
    -0.84
     Shepherd
    -0.81
     Worlds
    -0.80
     Chronicle
    -0.78
     Healer
    -0.77
     Kop
    -0.76
     Centauri
    -0.76
     Explorer
    -0.76
     Tone
    -0.75
     Defenders
    -0.75
    POSITIVE LOGITS
    anc
    1.10
    abor
    0.97
    aring
    0.96
    secut
    0.95
    ared
    0.94
    ardless
    0.93
    ast
    0.92
    withstanding
    0.92
    atri
    0.91
    ic
    0.91
    Activations Density 0.194%

    No Known Activations