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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. 10029
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    Explanations

    organization's names and events

    oai_token-act-pair · gpt-3.5-turbo

    suffixes commonly associated with nouns and verbs, particularly those ending in "or" and "er"

    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
    !/
    -0.59
    avorite
    -0.58
     Advertisement
    -0.57
    REF
    -0.55
    upon
    -0.54
    é¾į
    -0.52
    姫
    -0.52
    Magikarp
    -0.51
    Ĥª
    -0.51
     antiv
    -0.51
    POSITIVE LOGITS
    ching
    0.92
    eness
    0.90
    cher
    0.80
    chers
    0.79
    ches
    0.76
    ched
    0.76
    oy
    0.72
    chery
    0.71
    eto
    0.71
    olith
    0.69
    Activations Density 0.158%

    No Known Activations