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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. 8-RES-JB
    11. 18100
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    Explanations

    phrases related to obtaining something or achieving a goal

    oai_token-act-pair · gpt-3.5-turbo

    phrases that include the word "get" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lies
    -0.66
     cardinal
    -0.66
     Inher
    -0.64
    iege
    -0.63
     Tanz
    -0.62
     experiment
    -0.60
    NESS
    -0.59
     Duty
    -0.58
     Wonders
    -0.58
     Archdemon
    -0.58
    POSITIVE LOGITS
     rid
    1.56
     acquainted
    1.00
     away
    0.90
    bent
    0.88
    TING
    0.87
     distracted
    0.86
     Started
    0.84
    away
    0.84
    cloneembedreportprint
    0.83
     INTO
    0.80
    Activations Density 0.121%

    No Known Activations