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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. 7-RES-JB
    11. 11025
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    INDEX
    Explanations

    geographical locations and descriptions related to natural environments

    oai_token-act-pair · gpt-3.5-turbo

    references to geographical features and environmental contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oyal
    -0.84
    aughs
    -0.82
    issance
    -0.71
    erity
    -0.67
     Creed
    -0.65
     Instruction
    -0.63
     apolog
    -0.63
    oulos
    -0.61
    iator
    -0.61
    odox
    -0.61
    POSITIVE LOGITS
     wetlands
    1.16
     inhabited
    1.09
     habitats
    1.07
    near
    1.06
     valleys
    1.04
     adjoining
    1.04
     mountainous
    1.03
     rivers
    1.00
     airspace
    0.98
     populated
    0.97
    Activations Density 0.960%

    No Known Activations