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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. 13222
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    INDEX
    Explanations

    proper nouns or names

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific filmmaker or film-related context

    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
    anwhile
    -0.79
    è¦ļéĨĴ
    -0.77
    JV
    -0.69
    eanor
    -0.67
     digest
    -0.65
     Predict
    -0.63
     conclud
    -0.63
     predictable
    -0.61
     Sovereign
    -0.61
    peak
    -0.61
    POSITIVE LOGITS
    tered
    1.21
    ters
    1.20
    tering
    1.13
    fil
    1.05
    Fil
    1.02
    terness
    1.01
    thy
    0.97
    film
    0.96
    igree
    0.95
     Fil
    0.91
    Activations Density 0.013%

    No Known Activations