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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. 20035
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    Explanations

    phrases related to accumulating or gathering objects or items

    oai_token-act-pair · gpt-3.5-turbo

    references to various collections

    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
    pher
    -0.80
    yl
    -0.67
    mic
    -0.65
    FER
    -0.64
    forth
    -0.61
    lite
    -0.58
    acl
    -0.58
    nn
    -0.58
    generic
    -0.58
    esar
    -0.58
    POSITIVE LOGITS
    collection
    0.96
     collection
    0.92
    uably
    0.86
     Collection
    0.83
     collections
    0.82
    naire
    0.81
     Collections
    0.79
    icles
    0.76
    ieu
    0.74
     curated
    0.74
    Activations Density 0.032%

    No Known Activations