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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. 2-RES-JB
    11. 5309
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    Explanations

    the word "Pot" followed by a numerical value (e.g., Pot 10, Pot 9, Pot 8)

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Pot," likely related to a person or character prominently mentioned in a narrative context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anwhile
    -0.75
    âĸ¬
    -0.72
     preached
    -0.67
     Witness
    -0.67
    dress
    -0.67
     silence
    -0.66
     Defenders
    -0.63
     detached
    -0.62
    draft
    -0.61
    */(
    -0.60
    POSITIVE LOGITS
    atoes
    1.46
    assium
    1.34
    entially
    1.04
    onga
    1.03
     Pot
    0.99
    hesda
    0.98
    luck
    0.96
    Pot
    0.93
    ato
    0.89
    entials
    0.89
    Activations Density 0.008%

    No Known Activations