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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. 15543
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    Explanations

    terms related to locations or environments

    oai_token-act-pair · gpt-3.5-turbo

    references to various contexts or environments

    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
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    No Comments

    Negative Logits
    agan
    -0.72
    usterity
    -0.72
    hammad
    -0.70
    assic
    -0.68
    ilee
    -0.67
    Downloadha
    -0.66
    obe
    -0.66
    Mah
    -0.66
    ible
    -0.66
    Philipp
    -0.64
    POSITIVE LOGITS
     forth
    0.78
    ters
    0.77
     showc
    0.76
     aside
    0.76
    tering
    0.70
     Spray
    0.69
    TING
    0.66
    eering
    0.65
    eers
    0.64
     reminders
    0.64
    Activations Density 0.012%

    No Known Activations