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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. 9-RES-JB
    11. 7039
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    Explanations

    phrases related to explanations, justifications, or supporting statements

    oai_token-act-pair · gpt-3.5-turbo

    phrases involving possession or attribution of characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Farming
    -0.67
     Thib
    -0.66
    BuyableInstoreAndOnline
    -0.65
    tz
    -0.64
     Quantity
    -0.63
    aeper
    -0.63
    chuk
    -0.62
     semblance
    -0.61
    ikk
    -0.61
     Tanz
    -0.60
    POSITIVE LOGITS
     certainly
    0.98
     accordingly
    0.92
     definitely
    0.88
     consequently
    0.87
     doubtless
    0.85
     culminated
    0.82
     duly
    0.81
     rightfully
    0.79
     aided
    0.79
     manifested
    0.78
    Activations Density 0.409%

    No Known Activations