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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. 14241
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    Explanations

    phrases related to assembling or bringing things together

    oai_token-act-pair · gpt-3.5-turbo

    past participles of verbs related to gathering or collecting

    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
    mos
    -0.72
    zai
    -0.67
    inem
    -0.65
    ario
    -0.65
    reon
    -0.63
    izu
    -0.62
     negatively
    -0.61
     pronounced
    -0.61
     Noise
    -0.60
    enos
    -0.57
    POSITIVE LOGITS
    çĶŁ
    0.82
     Canaver
    0.82
    ãĥķãĤ¡
    0.77
     scraps
    0.75
     extracts
    0.72
    resources
    0.71
     concessions
    0.70
     glean
    0.70
    bing
    0.68
    lings
    0.68
    Activations Density 0.117%

    No Known Activations