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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. 2-RES-JB
    11. 12331
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    Explanations

    terms related to weather forecasting and prediction

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "Fore" and its variations, indicating a focus on forecasting or projections

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    naires
    -0.94
    å°Ĩ
    -0.88
    tumblr
    -0.83
    Magikarp
    -0.78
    Els
    -0.72
    METHOD
    -0.72
    UAL
    -0.72
    VG
    -0.72
     Ou
    -0.71
    illin
    -0.70
    POSITIVE LOGITS
    sts
    1.17
     Fore
    1.06
    nsics
    0.98
    closure
    0.96
    closed
    0.85
    gotten
    0.83
    stal
    0.82
    shadow
    0.80
    runner
    0.79
     fore
    0.79
    Activations Density 0.010%

    No Known Activations