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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. 6628
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    Explanations

    references to geographical locations near or including rivers

    oai_token-act-pair · gpt-3.5-turbo

    references to a river

    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
    iaries
    -0.79
    Reloaded
    -0.74
    ISTER
    -0.70
    OSH
    -0.69
    rators
    -0.66
    Mach
    -0.66
    ernel
    -0.65
    practice
    -0.64
    erity
    -0.62
    minded
    -0.61
    POSITIVE LOGITS
    bank
    1.18
    banks
    1.13
     basin
    1.01
     river
    1.00
    front
    1.00
     valley
    0.99
     Basin
    0.95
     River
    0.93
     Thames
    0.93
    boat
    0.87
    Activations Density 0.013%

    No Known Activations