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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. 0-RES-JB
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    Explanations

    mentions of various types of plants

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of plants

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iden
    -0.77
    rift
    -0.74
    ror
    -0.68
    iche
    -0.67
    reme
    -0.67
    ando
    -0.66
    igmat
    -0.65
    ime
    -0.64
    #$
    -0.64
     Decoder
    -0.64
    POSITIVE LOGITS
     plants
    3.81
     Plants
    2.94
     plant
    2.62
     Plant
    2.07
     vines
    1.71
     crops
    1.70
    plant
    1.69
     trees
    1.58
     vegetation
    1.55
     bushes
    1.54
    Activations Density 0.020%

    No Known Activations