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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. 4-RES-JB
    11. 13303
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    Explanations

    references to natural water bodies like rivers and streams

    oai_token-act-pair · gpt-3.5-turbo

    references to water bodies and their ecological context

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

    No Comments

    Negative Logits
    =-=-=-=-
    -0.79
    ASED
    -0.66
    boxing
    -0.65
    digit
    -0.64
     lockdown
    -0.62
    VICE
    -0.62
    URN
    -0.62
     verbal
    -0.61
    anim
    -0.59
    aeper
    -0.59
    POSITIVE LOGITS
     rivers
    1.00
     Thames
    0.99
     creek
    0.94
     flowing
    0.92
    waters
    0.90
    flows
    0.90
     basin
    0.90
     valleys
    0.90
     river
    0.90
     Nile
    0.89
    Activations Density 0.035%

    No Known Activations