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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. 24224
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    Explanations

    words related to physical structures or landmarks, particularly monuments

    oai_token-act-pair · gpt-3.5-turbo

    terms related to monuments

    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
    comes
    -0.72
    erm
    -0.70
    OTS
    -0.67
    FP
    -0.66
    rosso
    -0.64
    otten
    -0.63
    OTAL
    -0.63
    UV
    -0.62
    ENG
    -0.62
    EEK
    -0.62
    POSITIVE LOGITS
     monument
    1.15
     monuments
    1.15
     erected
    1.00
    arium
    0.86
    wikipedia
    0.84
     statues
    0.83
     commemor
    0.82
    ajo
    0.82
     sculpture
    0.80
     statue
    0.80
    Activations Density 0.009%

    No Known Activations