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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. 0-RES-JB
    11. 2231
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    Explanations

    phrase or keywords that contain special characters such as '@', '!', or specific symbols

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of a specific character or symbol

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Targ
    -0.75
     nexus
    -0.68
     Dak
    -0.65
     Washington
    -0.64
     mix
    -0.64
     motel
    -0.63
     mindset
    -0.63
     nonetheless
    -0.61
     clos
    -0.59
     plan
    -0.59
    POSITIVE LOGITS
    ĵ
    4.43
    Ĵ
    2.07
    Ķ
    2.05
    ķ
    1.77
    Ĺ
    1.76
    ĭ
    1.73
    ģ
    1.73
    ĺ
    1.71
    ©
    1.71
    ł
    1.68
    Activations Density 0.009%

    No Known Activations