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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. 4-RES-JB
    6. 18948
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    Explanations

    text related to dialogues and discussions, particularly with a focus on statements or questions

    oai_token-act-pair · gpt-3.5-turbo

    phrases or symbols associated with interruptions and pauses in conversation

    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
    orts
    -0.69
     womb
    -0.65
    utterstock
    -0.65
     disposal
    -0.59
    obos
    -0.58
    ModLoader
    -0.58
     accompany
    -0.58
     sling
    -0.58
     bag
    -0.58
    reens
    -0.57
    POSITIVE LOGITS
    ––
    1.06
    ————
    1.06
    ————————
    0.95
    perhaps
    0.92
    âĢķ
    0.88
    âĢ¢âĢ¢
    0.87
    say
    0.87
    maybe
    0.86
    there
    0.84
    —-
    0.83
    Activations Density 0.223%

    No Known Activations