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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. 8-RES-JB
    11. 11604
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    Explanations

    future possibilities or hypothetical scenarios

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express hypothetical situations and possibilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fort
    -0.77
    quartered
    -0.73
    lex
    -0.70
    SHIP
    -0.70
    cius
    -0.69
    ience
    -0.67
    cule
    -0.64
    Maker
    -0.62
    gra
    -0.61
    lication
    -0.60
    POSITIVE LOGITS
     happen
    1.23
     transpired
    1.21
     happ
    1.17
     happened
    1.16
     happens
    1.07
     Happ
    0.98
     happening
    0.93
     ensued
    0.85
     constitutes
    0.82
     distinguishes
    0.80
    Activations Density 0.129%

    No Known Activations