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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. 7-RES-JB
    11. 22670
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    INDEX
    Explanations

    names of specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    names of artists and their associated works or references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Newsletter
    -0.78
     CPR
    -0.62
     libel
    -0.59
    RIC
    -0.58
    BLIC
    -0.56
    PLIC
    -0.55
     Mahjong
    -0.55
     hindsight
    -0.55
    Cub
    -0.55
     crop
    -0.54
    POSITIVE LOGITS
    uren
    0.97
    atu
    0.80
    enburg
    0.76
    ouver
    0.75
    argon
    0.75
    iste
    0.74
    esy
    0.73
    tin
    0.73
    tten
    0.72
    ihilation
    0.72
    Activations Density 0.052%

    No Known Activations