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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. 4-RES-JB
    11. 10745
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    INDEX
    Explanations

    phrases indicating a strong likelihood or necessity

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "must"

    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
    vertisements
    -0.74
    ividual
    -0.65
    gdala
    -0.65
     Marlins
    -0.65
    vironment
    -0.65
     Laden
    -0.65
    ufact
    -0.63
     Tennis
    -0.62
    ifference
    -0.61
     Closed
    -0.61
    POSITIVE LOGITS
     surely
    0.93
     reproduce
    0.86
     be
    0.84
     obey
    0.84
     abide
    0.83
    ICLE
    0.76
     beware
    0.75
    hide
    0.75
    n
    0.72
     unavoid
    0.72
    Activations Density 0.025%

    No Known Activations