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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. 3-RES-JB
    11. 6060
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    Explanations

    proper nouns or names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    past tense forms of verbs indicating actions or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãģ®å®
    -0.75
    externalActionCode
    -0.71
    Reward
    -0.68
    OSS
    -0.67
    女
    -0.66
    Closure
    -0.66
    ä½ľ
    -0.63
    çī
    -0.62
    ä¿
    -0.62
    ighting
    -0.62
    POSITIVE LOGITS
    vier
    0.89
    zan
    0.85
    nesday
    0.83
    witz
    0.81
     Towns
    0.78
    terson
    0.77
    hof
    0.76
    nes
    0.76
    ner
    0.75
    zel
    0.75
    Activations Density 0.018%

    No Known Activations